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SCHOOL OF MANAGEMENT INDUSTRIAL MANAGEMENT REQUIRED CONCENTRATION

In this information you will find concentration for the Industrial Management plan of study. The fifteen hours required to fulfill your concentration must be taken from one of these concentrations. You may choose from one of the School of Management Industrial Management concentrations: Economics, Economics Honors, Management Information Systems, Manufacturing Management, Quantitative Methods, or Operations & Supply Chain Management. You may also choose from one of the more scientific concentrations: Industrial Engineering, Biological Sciences, Mathematics, Chemistry, Physics, Earth Atmospheric and Planetary Science, or Statistics. When planning your schedule, be sure you have completed the prerequisite courses for the courses you have selected. The School of Management cannot guarantee space in non-School of Management courses, in some cases you will need to get permission to take these courses from the department offering the classes.

INDUSTRIAL MANAGEMENT MANAGEMENT INFORMATION SYSTEMS (MIS) CONCENTRATION

Because of the increased use of computers in today's business world, there is a large demand for management students with a management information systems concentration. The MIS concentration is designed for students interested in a managerial perspective of computer systems: what are they, how are they developed, what are their benefits, how are they managed, and what trends are emerging? With the BSIM/MIS degree, graduates can start working in a variety of positions. These include the development, sales, support, and administration of computer systems. Each of the four areas offers opportunity for career advancement in the direction of increasing managerial responsibility. Long range possibilities involve positions such as chief information officer, or chief knowledge officer responsible for managing all aspects of a firm's knowledge assets.

Developers include systems analysts who determine the requirements of systems based on user needs, system designers who formulate plans to fulfill these requirements, and system implementors who use various techniques such as programming to execute the plans. Sales and marketing positions exist in the many companies that sell the computer systems and services they develop to other organizations and individuals. Support positions involve the provisions of training and ongoing assistance to the users of computer systems. Administrative positions are concerned with managing the development, introduction, and use of computer systems in organizations.

CAREER DIRECTIONS The continuing evolution of Management Information Systems is having major impacts on the way organizations are managed. Organizations need people who understand current and emerging trends in the computer systems field. They need managers who can recognize and capitalize on the opportunities presented by this technology. They need managers who can successfully address the many challenges that result from advances in the computer systems field. The Management Information Systems coursework is designed to complement a graduate's managerial skills with a solid foundation in Management Information Systems. In addition to providing a managerial perspective on the nature and uses of computer systems, this foundation gives a good basis for grasping tomorrow's innovations in the field.

Systems Analyst. A systems analyst determines or discovers the requirements of prospective computer systems. This is normally accomplished by understanding the needs and problems of potential users of the systems. A good background in the functional areas of management plus effective interpersonal skills are important for successful systems analysis. Sometimes a systems analyst actually does the design activity rather than passing design specifications to a designer.

Project Manager. Frequently, the development of a computer system is a team effort. A project manager is responsible for coordinating the team's resources in the interest of a successful project. A Management Information Systems graduate's career path may lead in the direction of managing computer system development projects.

Data Administrator. A data administrator is responsible for the ongoing control of data stored in a computer system. This includes the integrity, security, and maintenance of data. It involves the timely recovery from computer system failures and the continuing effort to tune the system performance in light of user needs.

Business Analyst. A business analyst is concerned with supporting the decisions and plans made in some functional area of an organization. This may involve the development of computer systems for decision support purposes. It could also require an understanding of how to incorporate computer systems into the decisions and plans that are made. For instance, a marketing analyst may develop a computer system to support marketing decisions or may be involved in the market analysis for a new computer system.

Information Center Consultant. Large organizations need a way to manage end user computing. This is the use of computer resources by persons who are not computer systems professionals. The group of people who train, advise, and support end users is often called an information center. In addition to their knowledge of computer systems issues, information center consultants must be able to effectively communicate with managers from a variety of functional areas. An information center consultant may progress to the level of information center manager or into a position of consulting within a particular functional area.

Sales Representative. The computer industry continues to grow dramatically. Computer companies need sales representatives to present computer systems to prospective clients.

CAREER DIRECTIONS (CONT) It is extremely helpful if a sales rep is sufficiently conversant in managerial issues to readily identify client needs. A good appreciation of computer systems issues, beyond specific traits of the company's products, is also highly desirable. Both needs are addressed by the Management Information Systems program.

Technical Support Specialist. A technical support specialist assists sales reps during the selling process and customers after the sale is made. This person is an expert in the operation and use of specific computer systems.

Designer. A designer takes a specification of what a computer system is required to do and creates a plan or model of how those requirements can be met. Drawing on an understanding of what can be done with a computer, a designer creates the step- by-step instructions that are given to a programmer to implement. Designers can also design the appearance of a user's interface to a computer system and the structure of knowledge (e.g., data) that the computer system will store.

Programmer: A programmer translates detailed, step-by-step instructions of how a computer system should operate into a language that a computer can understand. In this way, a programmer creates, documents, and maintains programs that make up the software structure coursework to emphasize programming skills, it is important to note that programming is not the central concern of a managerial perspective on computer systems. Those Management Information Systems graduates who take entry level positions as programmers typically do so with objective of progressing to other positions (e.g., management of programming project teams, design, analysis).

Management Information Systems (18cr.)

Successfully complete the following courses

Successfully complete 1 of the following courses

MGMT 29000 (preferred)

Programming for Business Applications

or CS 17700 Programming with Multimedia Objects

CS 18000 Problem Solving and Object-Oriented Programming

MGMT 54400 Database Management Systems

MGMT 54500 Systems Development

MGMT 54700 Computer Communications Systems

MGMT 48800 Electronic Commerce & Information Strategies

MGMT 59000 Adv. Data Management for Decision Making

COURSE DESCRIPTIONS CS 17700 - Programming with Multimedia Objects Introduction to computers and programming: number representations, primitive data types and operations, basic control structures, programming applets and applications using graphical user interfaces, programming for detecting events and performing actions, processing multimedia objects such as images and sounds. Throughout the course, examples are drawn from a variety of fields in the natural sciences. Not open to CS majors with a grade of C or better in CS 18000. Not open to non-CS majors with a grade of C or better in any course in computer programming. CS 18000 - Problem Solving and Object-Oriented Programming Pre or Co-requisite: MA 16100 or 16500 or MA 22300 and MA 22400 Problem solving and algorithms, implementation of algorithms in a high level programming language, conditionals, the iterative approach and debugging, collections of data, searching and sorting, solving problems by decomposition, the object-oriented approach, subclasses of existing classes, handling exceptions that occur when the program is running, graphical user interfaces (GUIs), data stored in files, abstract data types, a glimpse at topics from other CS courses. Intended primarily for students majoring in computer sciences. Credit cannot be obtained for both CS 18000 and any of 15600, 15800 and 15900. Not open to students with credit in CS 18100 or 24000.

MGMT 29000 - Programming for Business Applications This course will cover the fundamentals of business rules and logic in a business application development context. Students will use a modern programming language such as Java to reinforce logical concepts like abstraction, process flow, variable assignment, and control structures, as well as proper programming and application development practices, including documentation. By the end of the semester, students will be able to construct a business application using a high-level application development environment, including problem analysis, decomposition, solution design, and solution implementation. MGMT 48800 - Electronic Commerce and Information Strategies Pre-req: MGMT 38200 Discuss the new business models in electronic commerce that have been enabled by Internet technologies and analyze the impact these technologies and business models have on industries, firms and people.

MGMT 54400 - Database Management Systems Pre-req: MGMT 38200 and MGMT 290 Programming for Business Applications Covers the theory and practice of database design and usage. Students will learn the importance of data modeling concepts and how to use these effectively and how to plan and design a database, including issues such as data security and control.

MGMT 54500 - Systems Development Pre-req: MGMT 38200 and MGMT 290 Programming for Business Applications Focuses on information systems development theories, practices, and tools for rapid adaptation and management of leading-edge as well as emerging computing paradigms.

MGMT 54700 - Computer Communications Systems Pre-req: MGMT 38200 and MGMT 290 Programming for Business Applications Explores the convergence of telecommunications and computer technology, framed in terms of their strategic impact in the business environment. Components of computer communication systems are surveyed. Major design and analysis issues in the development, implementation, and management of computer communication systems are examined. Relevant emerging trends are highlighted. The course is devoted to technical issues, applications, and case studies covering telecommunication systems used in business.

MGMT 59000 - Advanced Data Management for Decision Making Pre-req: CS 180 or programming and MGMT 382 This course would introduce and familiarize students to the data management issues relevant to and required for supporting managerial decision-making activities such as Knowledgement Management, Supply Chain Management and Customer Relationship Management. The data management issues to be covered include, but are not limited to, data warehousing and data management for use in knowledge discovery, knowledge management, enterprise resource management, supply chain and customer relationship management. The topics of database security and data administration will also be covered. The course will encompass both managerial issues related to advanced data management as well as appropriate technical issues.

INDUSTRIAL MANAGEMENT COMPUTER SCIENCE CONCENTRATION

The Computer Science (CS) concentration was created to give a student a broad knowledge of computer programming. The CS minor focuses more on the logical operations of the computer and its programming languages than the MIS concentration. The concentration covers programming in C, C++ and other languages, data structures, compilers, and databases.

CAREER DIRECTIONS The continuing evolution of computer systems is having major impacts on the way organizations are managed. Organizations need people who understand current and emerging trends in the computer systems field. They need managers who can recognize and capitalize on the opportunities presented by this technology. They need managers who can successfully address the many challenges that result from advances in the computer systems field. The BSIM/CS coursework is designed to complement a graduate's managerial skills with a solid foundation in computer systems. In addition to providing a managerial perspective on the nature and uses of computer systems, this foundation gives a good basis for grasping tomorrow's innovations in the field.

Systems Analyst. A systems analyst determines or discovers the requirements of prospective computer systems. This is normally accomplished by understanding the needs and problems of potential users of the systems. A good background in the functional areas of management plus effective interpersonal skills are important for successful systems analysis. Sometimes a systems analyst actually does the design activity rather than passing design specifications to a designer.

Project Manager. Frequently, the development of a computer system is a team effort. A project manager is responsible for coordinating the team's resources in the interest of a successful project. A Management Information Systems graduate's career path may lead in the direction of managing computer system development projects.

Data Administrator. A data administrator is responsible for the ongoing control of data stored in a computer system. This includes the integrity, security, and maintenance of data. It involves the timely recovery from computer system failures and the continuing effort to tune the system performance in light of user needs.

Business Analyst. A business analyst is concerned with supporting the decisions and plans made in some functional area of an organization. This may involve the development of computer systems for decision support purposes. It could also require an understanding of how to incorporate computer systems into the decisions and plans that are made. For instance, a marketing analyst may develop a computer system to support marketing decisions or may be involved in the market analysis for a new computer system.

Information Center Consultant. Large organizations need a way to manage end user computing. This is the use of computer resources by persons who are not computer systems professionals. The group of people who train, advise, and support end users is often called an information center. In addition to their knowledge of computer systems issues, information center consultants must be able to effectively communicate with managers from a variety of functional areas. An information center consultant may progress to the level of information center manager or into a position of consulting within a particular functional area.

Sales Representative. The computer industry continues to grow dramatically. Computer companies need sales representatives to present computer systems to prospective clients. It is extremely helpful if a sales rep is sufficiently conversant in managerial issues to readily identify client needs. A good appreciation of computer systems issues, beyond specific traits of the company's products, is also highly desirable. Both needs are addressed by the Management Information Systems program.

Technical Support Specialist. A technical support specialist assists sales reps during the selling process and customers after the sale is made. This person is an expert in the operation and use of specific computer systems.

Designer. A designer takes a specification of what a computer system is required to do and creates a plan or model of how those requirements can be met. Drawing on an understanding of what can be done with a computer, a designer creates the step-by-step instructions that are given to a programmer to implement. Designers can also design the appearance of a user's interface to a computer system and the structure of knowledge (e.g., data) that the computer system will store.

Programmer. A programmer translates detailed, step-by-step instructions of how a computer system should operate into a language that a computer can understand. In this way, a programmer creates, documents, and maintains programs that make up the software structure coursework to emphasize programming skills, it is important to note that programming is not the central concern of a managerial perspective on computer systems. Those Management Information Systems graduates who take entry level positions as programmers typically do so with the objective of progressing to other positions (e.g., management of programming project teams, design, analysis).

COURSES DESCRIPTIONS CS 17700 - Programming with Multimedia Object Introduction to computers and programming: number representations, primitive data types and operations, basic control structures, programming applets and applications using graphical user interfaces, programming for detecting events and performing actions, processing multimedia objects such as images and sounds. Throughout the course, examples are drawn from a variety of fields in the natural sciences. Not open to CS majors with a grade of C or better in CS 18000. Not open to non-CS majors with a grade of C or better in any course in computer programming.

CS 18000 - Problem Solving and Object-Oriented Programming Co-requisite: MA 16100, MA 16500 or MA 22300 and MA 22400 Problem solving and algorithms, implementation of algorithms in a high level programming language, conditionals, the iterative approach and debugging, collections of data, searching and sorting, solving problems by decomposition, the object-oriented approach, subclasses of existing classes, handling exceptions that occur when the program is running, graphical user interfaces (GUIs), data stored in files, abstract data types, a glimpse at topics from other CS courses. Intended primarily for students majoring in computer sciences. Credit cannot be obtained for both CS 18000 and any of 15600, 15800 and 15900. Not open to students with credit in CS 18100 or 24000.

CS 18200 - Foundations of Computer Science Pre-req: CS 18000 and MA 16100 or MA 16500 Logic and proofs; sets, functions, relations, sequences and summations; number representations; counting; fundamentals of the analysis of algorithms; graphs and trees; proof techniques; recursion; Boolean logic; finite state machines; pushdown automata; computability and undecidability.

CS 24000 - Programming in C Pre-req: CS 18000 The UNIX environment, C development cycle, data representation, operators, program structure, recursion, macros, C preprocessor, pointers and addresses, dynamic memory allocation, structures, unions, typedef, bit-fields, pointer/structure applications, UNIX file abstraction, file access, low-level I/O, concurrency.

CS 25000 - Computer Architecture Pre-req: CS 24000 and CS 18200 Digital logic: transistors, gates, and combinatorial circuits; clocks; registers and register banks; arithmetic-logic units; data representation: big-endian and little-endian integers; ones and twos complement arithmetic; signed and unsigned values; Von-Neumann architecture and bottleneck; instruction sets; RISC and CISC designs; instruction pipelines and stalls; rearranging code; memory and address spaces; physical and virtual memory; interleaving; page tables; memory caches; bus architecture; polling and interrupts; DMA; device programming; assembly language; optimizations; parallelism; data pipelining.

CS 25100 - Data Structures and Algorithms Pre-req: CS 24000 Running time analysis of algorithms and their implementations, one-dimensional data structures, trees, heaps, additional sorting algorithms, binary search trees, hash tables, graphs, directed graphs, weighted graph algorithms, additional topics.

Computer Science (21 credits) Complete the following courses with a “C” or higher. All courses require permission from the CS department to enroll: www.cs.purdue.edu/courses/courses.html

Pre-requisite course: CS 17700 Programming with Multimedia Objects (4cr)

Complete the following courses: CS 18000 Problem Solving and Object-Oriented Programming (4cr) CS 18200 Foundations of Computer Science (3cr) CS 24000 Programming in C (3cr) CS 25000 Computer Architecture (4cr) CS 25100 Data Structure and Algorithms (3cr)

INDUSTRIAL MANAGEMENT ECONOMICS HONORS CONCENTRATION OR ECONOMICS CONCENTRATION

(This is a minor option for Industrial Management majors only)

Economics is the study of how individuals, both consumers and managers of firms, make choices in the face of scarcities. Their decisions result in market determined prices and quantities for the goods and services provided by an economy. It is these market outcomes that are the primary focus of economic analysis. The study of markets and the determination of prices and quantities may seem to be a narrow field, but the applications are numerous. Economists use this market oriented approach to study such diverse topics as inflation, business cycles, international trade, tax policy, energy costs, agriculture, urban problems, the banking system, the structure of industry, crime and the legal system, labor unions, antitrust policy, regulation, public finance, economic development, and pollution. Economic analysis has also been used to increase our understanding of the dynamics of individual interactions and organizational structures such as teams in industrial settings.

Economics Honors

Students must have a 3.3 in all ECON courses and an overall GPA of 3.3 to pursue ECON Honors. Complete the following courses:

ECON 34000 Intermediate Microeconomics Theory ECON 35200 Intermediate Macroeconomics ECON 36000 Econometrics ECON 49900 Senior Honors Thesis (Spring only) One ECON 30000 or 40000 level course

CAREER DIRECTIONS Economics provides an excellent background for general managerial positions. It is particularly valuable for jobs in financial institutions, governments, and companies engaged in international trade. Much of modern legal problems are closely intertwined with economic issues; the combination of law and economics has become an important field in its own right and the study of economics provides a valuable background for the study of law. In the public sector, undergraduate economics students have found positions in the Federal Government in such agencies as the Treasury, Department of Labor, Department of Commerce, and the US General Services Administration. Jobs are also available in state and local governments, city planning administrations, and international organizations.

Some examples of job areas are:

Auditing

Banking

Budget Analysis

Business Economics

Commercial Lending

Credit Analysis

Economic Analysis/Research

Finance Forecasts

Investment Analysis

Marketing/Marketing Research

Pricing

Product Control

Securities Analysis

Systems Design and Programming

HONORS PROGRAM IN ECONOMICS The Honors Program in Economics provides the opportunity for rigorous, intensive, and independent study in economic theory and policy. The independent research performed in the Senior Honors Seminar (ECON 49900) offers a sound preparation for the type of academic activity that students encounter in graduate school, and the intensive study of economics provides the student with a deeper appreciation of market forces and policy issues.

To ensure students have sufficient background in Economics to complete this minor, students are required to complete ECON 36000, ECON 34000, ECON 35200, and one other upper division Economics courses prior to enrolling in ECON 49900.

Economics

Complete the following courses:

ECON 34000 Intermediate Microeconomics The-ory

ECON 35200 Intermediate Macroeconomics Three additional ECON 30000 or 40000 level courses

ECONOMICS CONCENTRATION

COURSE DESCRIPTIONS ECON 34000 - Intermediate Microeconomic Theory Pre-req: ECON 25100 Consumer behavior and demand, decisions under uncertainty, production and cost, factor demand, market structure, general equilibrium and welfare. Emphasis on the tools used to analyze the behavior of individual economic units. ECON 35200 - Intermediate Macroeconomics Pre-req: ECON 25200 Continuation of ECON 25200. A more rigorous, general equilibrium treatment of macroeconomic theory with emphasis on the components of the model: determinants of consumption, investment, net exports and foreign exchange rates, the level of unemployment, inflation and the long-run rate of economic growth. ECON 36000 - Econometrics Pre-req: MGMT 30500 or STAT 35000 or STAT 51100 This course examines the statistical techniques used in testing economic theory. Emphasis is placed on estimating a single equation (e.g., a demand function) and the problems associated with such estimation. As part of the course, students will estimate equations on the University’s computational facility. ECON 36100 - Antitrust and Regulation Pre-req: ECON 25100 The course studies the influence of laws and regulations on the behavior of firms, focusing on two types of government intervention in the market: antitrust law and economic regulation. Antitrust laws define the rules by which firms must compete. Economic regulation more tightly constrains the actions of firms, requiring that they obtain approval to set prices and/or enter new markets. The focus is on current topics in both areas, including antitrust cases against Microsoft and deregulation of telecommunications and electricity.

ECON 36800 - Values, Markets, and Norms Pre-req: ECON 25100 An interdisciplinary approach to the issues of market efficiency, ethical behavior, and cultural differences in a pluralistic world. Using examples, debates, case studies, readings, and lectures, this course will try to clarify how individual personality type, cultural background, concepts of knowledge, and logical boundaries on rational thought combine to create conflict and misunderstanding at all levels of society. This will be directly related to discussions of efficiency in capitalist economies. The second half of the course will use the case studies to look at aspects of different global economies and communities. ECON 37000 - International Trade Pre-req: ECON 25100 and 25200 Aspects of international economic behavior of households, firms, and national governments. Develops and uses tools of intermediate economic theory to discuss the benefits and costs of international economic interdependence and the implications of increasing international linkages of households and firms on the role of national governments. ECON 37100 - International Monetary Problems Pre-req: ECON 25100 AND 25200 Analysis of historical changes in the world's monetary system. International financial markets and capital flows. Influences on components of the balance of payments. International transmission of business fluctuations with fixed and flexible exchange rates. ECON 38000 - Money and Banking Pre-req: ECON 25100 and 25200 The course analyzes the economics of money, monetary systems, and financial intermediaries in modern industrial economies. Topics considered can include the origin of money and the banking industry, the properties of various monetary systems, the operation of central banks, the regulation of financial intermediaries, and the effects of various monetary policies.

ECON 38500 - Labor Economics Pre-req: ECON 25100 The focus of this course is on the functioning of labor markets. Topics to be considered can include supply decisions, investments in human capital, compensating wage differentials, labor contract theory, unions, labor-managed firms, signaling in labor markets, the economics of unemployment, and government employment policies. ECON 45100 - Game Theory Pre-req: ECON 25100 Examines the market forces which lead to the development, growth, and size of cities. In addition, this course covers the theory of location and land use, principles of local public finance, policy problems in the areas of urban housing, transportation, crime, and pollution. ECON 46100 - Industrial Organization Pre-req: ECON 25100 Strong recommendation to have taken ECON 36100 before this course. This course will examine firm behavior under different market structures and how this behavior is altered by governmental regulation. Particular attention will be given to traditional examples of regulated industries, public utilities, and to antitrust. Emphasis will be placed on the theoretical modeling of industry equilibrium and optimal governmental policy.

ECON 46600 - International Economics Pre-req: ECON 25100 and 25200 (has not been offered in the past few years) Topics in international economics, with emphasis on real, rather than monetary, aspects. Coverage typically requires more advanced techniques or more detailed treatment than in ECON 37000. ECON 49900 - Senior Honors Thesis Pre-req: 12 credits > ECON 25100 & 25200, Overall GPA > 3.3, ECON GPA > 3.3, ECON 34000, ECON 35200, ECON 36000 Execution by economics honors students of a senior honors thesis under the direction and supervision of the faculty. In addition to a paper, completion of the research project may involve the presentation of the findings in a seminar or workshop setting.

INDUSTRIAL MANAGMENT ENGINEERING CONCENTRATION

An Engineering concentration is for persons who enjoy planning, organizing, and directing activities relating to the production of a product or service. A person with an aptitude for quantitative and analytical skills is a good candidate for this area.

CAREER DIRECTIONS Production / Operations. The kinds of positions discussed here refer specifically to the management activities directly associated with production operations, including methods, equipment, processes, and personnel.

Production Planner. Sometimes called production engineers - design the production scheme, i.e., the flow of work and information. This includes such items as scheduling, materials specifications, machine usage, materials-handling procedures, control methods, and personnel training and supervision. Operations research, organizational skills, and human relations skills are especially vital in this area

Product Engineers. Handle test requirements and inspection to make sure the product is produced according to specifications.

Reliability/Maintainability Engineers. Concentrate on maintaining or improving the reliability of the design to ensure that the product performs the way it was intended to in the product development stage. Promotions in the production / operations area may be made to manufacturing, production, or construction management and to engineering staff positions. It should also be kept in mind that job titles are named by the function performed rather than according to the academic background of the worker.

Research and Development. Research activity includes systematic, critical, and intensive investigation directed toward the acquisition of new or fuller scientific knowledge, with or without reference to a specific application. Development on the other hand, refers to the systematic application of scientific knowledge directed toward the creation or substantial modification of equipment, materials, instrumentation, devices, systems mathematical models, procedures, techniques, or processes. Development work may include the design, construction, and testing of pilot plants and pre-production prototypes and models. Product development and process development refer specifically to the development of new or improved products or processes; new product development is closely tied to the marketing function.

Engineering


IE 47700 Work Methods & Measurement IE 53000 Quality Control IE 53300 Industrial Applications of Statistics

IE 54500 Engineering Economic Analysis IE 54600 Economic Decisions in Engineering IE 55600 Job Design (PSY 55600 cross listed)

IE 55800 Safety Engineering IE 56600 Production Management Control

IE 57700 Human Factors in Engineering (PSY 57700 cross listed)

IE 59000 Financial Engineering

COURSE DESCRIPTIONS IE 47700 - Work Methods and Measurement Pre-req: MGMT 30500 Work analysis, principles and techniques of motion study, nature of human work, design of work methods, work measurement, work sampling, predetermined time systems. IE 53000 - Quality Control Pre-req: IE 33000 or STAT 51100 or STAT 35000 Principles and practices of statistical quality control in industry. Control charts for measurements and for attributes. Acceptance sampling by attributes and by measurements. Standard sampling plans. Sequential analysis. Sampling inspection of continuous production.

IE 53300 - Industrial Applications and Statistics Pre-req: IE 33000 or STAT 51100 or STAT 35000 The application of univariate statistics to the effective design and analysis of industrial studies relating to human factors engineering in order to optimize the utilization of equipment and resources. Emphasis on conducting these studies at the least cost. IE 54500 - Engineering Economic Analysis Pre-req: IE 33500 and IE 34300 or IE 34500 or ENGR 40900 Analysis of engineering costs and capital investments. Applications of classical optimization, mathematical programming, and the theory of production to the analysis of investment proposals. Evaluation and selection of individual projects and formulation of capital investment programs. IE 54600 - Economic Decisions in Engineering Pre-req: IE 33600 or IE 50100 Topics in decision making and rationality; decision making under uncertainty; and various descriptive and prescriptive models. Applications are drawn from engineering decision making, public policy, and personal decision making. Attention is also paid to designing aids to improve decision making. IE 55600 (PSY 55600) - Job Design Pre-req: IE 38600 or PSY 57700 or IE 57700 Task analysis, personnel selection and training, job and organizational design, and criteria development and use. Human factors related to job design in order to increase job satisfaction and productivity.

IE 55800 - Safety Engineering Pre-req: IE 38600 Application of human factors and engineering practices in accident prevention and the reduction of health hazards are presented. The objective of this course is to provide an understanding of the safety and health practices which fall within the responsibilities of the engineer in industry. Special attention is devoted to the detention and correction of hazards and to contemporary laws and enforcement affecting occupational safety and health. IE 56600 - Production Management Control Pre-req: IE 38300 Background and development of production management, plus current concepts and controls applicable to production management functions. Not open to Industrial Engineering students with a minor in management. IE 57700 (PSY 57700) - Human Factors in Engineering Survey of human factors in engineering, with particular reference to human functions in man-machine systems, and consideration of human abilities and limitations in relation to design of equipment and work environments. Primarily for engineers and other non psychology majors. IE 59000 - Financial Engineering For additional information or permission to take a course you may contact: Professor Mark Lehto Industrial Engineering E-mail: [email protected] Grissom Hall 259 49-45428

INDUSTRIAL MANAGMENT QUANTITATIVE METHODS CONCENTRATION

For those students interested in a quantitative methods concentration, there are four options available. The first option focuses on statistics and the courses that are suggested here offer a practical application. The second option is simulation/stochastic processes and is geared more towards Industrial Engineering. The third option, mathematical programming, is suggested instead of a math minor because it offers a practical application as opposed to straight theory.

CAREER DIRECTIONS This concentration would be valuable for those students who have a technical orientation and enjoy working with computers, data, research and statistics.

COURSE DESCRIPTIONS MA 26200 - Linear Algebra and Differential Equations Pre-req: MA 26100 Linear algebra, elements of differential equations. Not open to students with credit in MA 26500 or 26600. IE 33600 - Operations Research - Stochastic Models (Need permission from IE department) Pre-req: MA 26500 and IE 23000 Introduction to probabilistic models in operations research. Emphasis on Markov chains, Poisson processes, and their application to queueing systems. IE 53600 - Stochastic Models in Operations Research I (Need permission from IE department) Pre-req: IE 53600 or IE 50100, or equivalen; Co-req: CS 15600; IE 33600, or 50100 An introduction to techniques for modeling random processes used in operations research. Markov chains, continuous time Markov processes, Markovian queues, reliability and inventory models

IE 53700 - Discrete Optimization Models and Algorithms (Need permission from IE department) Pre-req: IE 33500 or equivalent. (IE 53500 recommended); Co-req: CS 15600, IE 33500, or 50100 An introduction to classic models and algorithms for discrete optimization. Basic theory and computational strategies for exact and heuristic solution of integer, combinational, and network problems in the context of classic models. STAT 51200 - Applied Regression Analysis Pre-req: STAT 50300 or STAT 51100 or STAT 51700 or STAT 35000 Introductory statistical methods, with emphasis on applications in biology. Topics include descriptive statistics, binomial and normal distributions, confidence interval estimation, hypothesis testing, analysis of variance, introduction to nonparametric testing, linear regression and correlation, goodness-of-fit tests, and contingency tables. Open only to majors related to the life sciences. Credit cannot be given for more than one of STAT 30100, 30500, 35000, 43300, 50100, 50300, or 51100.

Quantitative Methods

Option 1 (preferred):


MA 26200 Linear Algebra & Differential Equations

IE 33600 Operations Research-Stocastic Models

IE 53600 Stochastic Models in Operations Research I

IE 53700 Discrete Optimization Models & Algorithms

STAT 51200 Applied Regression Analysis

Optional courses for minor, can replace a course above: STAT 51300 Statistical Quality Control

STAT 51400 Design of Experiments

STAT 52000 Time Series and Applications

STAT 52200 Sampling and Survey Techniques

STAT 52400 Applied Multivariate Analysis

IE 53000 Quality Control

Option 2: Simulation/Stochastic Process (Computer Programming)


IE 33600 Operations Research - Stocastic Models

IE 53600 Stochastic Models in Operations Research I IE 58000 Systems Simulation

IE 58200 Advanced Facilities Design

Option 3: Mathematical Programming


IE 33600 Operations Research - Stocastic Models

IE 53700 Discrete Optimization Models and Algorithms

IE 53800 Nonlinear Optimization Algorithms and Models

IE 54500 Engineering Economic Analysis

INDUSTRIAL MANAGEMENT OPERATIONS AND SUPPLY CHAIN MANAGEMENT CONCENTRATION

(SUPPLY CHAIN/LOGISTICS)

Operations management is a broad title that encompasses many roles and functions essential to improving the manufacturing of products, the execution of services or the movement of goods throughout the delivery supply chain. Often people think of operations management only in the environment of a factory, however roles in operations management can be found not only in support of factory operations, but in banking operations, retail operations, and even food service providers just to name a few. Any company – in any industry that makes a product or sells a service!

Students in operations management typically enjoy being in the center of a lot of action, with a hands-on approach toward solving problems and making things happen. There is a heavy focus on team dynamics, and every day you have the opportunity to make the company you work for a more cost effective, productive, competitive and sustainable organization.

CAREER DIRECTIONS Operations Management positions are for those who like working amongst the production environment; titles range from first line supervisor, to operations analyst, production trainer, six sigma/lead team member and more.

Production Planning roles are for students that enjoy modeling production systems, enjoy the principles of forecasting, and putting their Excel spread sheeting skills to work. This role helps facilitate customer orders in successfully getting fulfilled through production.

Procurement/Sourcing the acquisition, storage and careful stewarding of materials to build product or to support the company is at the heart of procurement and sourcing positions. Titles include: Procurement Specialist, sourcing specialist, inventory control analyst, material expeditor, and contract specialist.

Supply chain & Logistics these positions involve getting the right products and services to the right customers at the right time in the most cost effective fashion. Roles include distribution analyst, transportation planner, supply chain analyst, etc.

Operations Management & Supply Chain


MGMT 46200 (3cr.) or MGMT 56000 (2cr.)

Adv. Manufacturing Planning & Control Systems Manufacturing Planning & Control

MGMT 49000 (3cr.) Logistics: Concepts & Models Complete remaining hours in the following courses: MGMT 45200 (3cr.) Manufacturing Strategy MGMT 56100 (2cr.) Logistics MGMT 56200 (2cr.) Project Management MGMT 56400 (2cr.) Management of Service Operations MGMT 59000 (2cr.) Strategic Sourcing & Purchasing Management

COURSE DESCRIPTIONS MGMT 45200 - Manufacturing Strategy Pre-req: MGMT 45100 and MGMT 36100 This course examines the management challenges posed by the growth in worldwide manufacturing capabilities, markets, and competition and by rapid advances in technology and the concomitant decline in product life cycles. The manufacturing function is considered within a broader context encompassing design, engineering, purchasing, marketing, and customer service in an effort to assess the degree to which existing management structures successfully meet the challenges arising from the changing manufacturing environment. MGMT 46200 - Advanced Manufacturing Planning and Control Systems Pre-req: MGMT 36100 An intensive individual computer lab supplements lectures examining the role of computerized information and control systems in manufacturing. An elaborate series of case studies, enlivened by advanced computer simulations, bring together production planning, production floor execution, and quality control. Students plan and execute the production and purchasing of all parts, aided by an integrated MRP/capacity planning/shop-floor control system built into the computer simulation. MGMT 49000 - Logistics: Concepts and Models Our emphasis this semester is on the operation of distribution and manufacturing information systems within supply chains. Specifically, the course will provide 2 virtual systems. Mock Factory is a simple manufacturing operation using Legos, and we will compare three different approaches to controlling its operation: base stock, MRP, and Kanban. Log Game is a computer simulation of a simple 3-level supply chain. A principal objective of these modules is to not only gain experience planning, but to execute and control a plan. Assignments will be based upon these make-believe processes and will be done in teams.

MGMT 56100– Logistics Pre-req: MGMT 36100 Examines the distribution and delivery functions in a manufacturing or service industry. Topics include inventory control in distribution, transportation planning, distribution requirements planning, analysis of waiting lines, distribution system design and facility location and layout analysis. MGMT 56200– Project Managements Pre-req: MGMT 36100 Emphasizes the use of PC-based project management software and its applications, particularly in manufacturing organizations and especially new product development projects. Extensive use is made of several case studies to illustrate the planning and monitoring of a project. Class is held in a computer lab. MGMT 56400 – Management of Service Operations Special characteristics of services require an interdisciplinary approach to analyzing operations. This course draws upon concepts from accounting, management science, and marketing. Differences and similarities between the service and manufacturing organizations are analyzed. Case studies of service organizations are used extensively. MGMT 59000 - Strategic Sourcing & Purchasing Management

The manufacturing sector of the United States economy is in the process of undergoing substantial and fundamental change in response to the rapid development of new products and new process technologies, and in response to increased pressures of international competition.

It is common consensus that over the past two decades the US competitive manufacturing position has declined relative to that of our major trading partners. Also, it is commonly held that the problem is less the availability of appropriate technology (e.g., robots, artificial intelligence) than it is the shortage of knowledge about how to manage in the new manufacturing environment, an environment characterized by high technology, rapid product and process innovation, and ever-shortening product life-cycles. The goal of the Manufacturing Management concentration is to equip future managers with this knowledge.

Coursework in the Manufacturing Management concentration builds on the strong analytical base of the BSIM program. On this base is built an interdisciplinary set of courses in advanced manufacturing planning and control systems, manufacturing strategy, and the management of advanced manufacturing organizations. Valuable background knowledge or applications are covered in a complementary set of courses in Industrial Engineering.

The vast majority of the graduates with the Manufacturing Management concentration are expected to assume entry-level positions directly in the production or operations function of manufacturing firms. However, these graduates will not be narrow specialists in engineering or supervision. Instead, the notion is that Manufacturing Management graduates will understand how the manufacturing process interacts with other activities of the firm and with the firm's strategic goals. They will not only be knowledgeable about contemporary manufacturing techniques, but be attentive to human resource considerations, to financial implications, and the market-driven competitive position of the firm. In brief, the objective is that MM graduates have the skills to manage tomorrow's as well as today's factories, and, indeed, to contribute to the successful design of tomorrow’s.

The Manufacturing Management concentration prepares students to meet the challenges involved in the management of a manufacturing enterprise.

The three required management and OBHR courses in the concentration provide a rigorous background in manufacturing planning and control systems, organizational behavior, and strategy formulation. To complete the minor, the student must choose at least two additional approved courses in Industrial Engineering to ensure some exposure to the technical realities of the manufacturing environment.

CAREER DIRECTIONS Production / Operations The kinds of positions discussed here refer specifically to the management activities directly associated with production operations, including methods, equipment, processes, and personnel.

Production Planner Sometimes called production engineers - design the production scheme, i.e., the flow of work and information. This includes such items as scheduling, materials specifications, machine usage, materials-handling procedures, control methods, and personnel training and supervision. Operations research, organizational skills, and human relations skills are especially vital in this area

Product Engineers Handle test requirements and inspection to make sure the product is produced according to specifications.

Reliability/Maintainability Engineers Concentrate on maintaining or improving the reliability of the design to ensure that the product performs the way it was intended to in the product development stage.

Promotions in the production / operations area may be made to manufacturing, production, or construction management and to engineering staff positions. It should also be kept in mind that job titles are named by the function performed rather than according to the academic background of the worker.

Research and Development Research activity includes systematic, critical, and intensive investigation directed toward the acquisition of new or fuller scientific knowledge, with or without reference to a specific application. Development on the other hand, refers to the systematic application of scientific knowledge directed toward the creation or substantial modification of equipment, materials, instrumentation, devices, systems mathematical models, procedures, techniques, or processes. Development work may include the design, construction, and testing of pilot plants and pre-production prototypes and models. Product development and process development refer specifically to the development of new or improved products or processes; new product development is closely tied to the marketing function.

INDUSTRIAL MANAGMENT MANUFACTURING MANAGEMENT CONCENTRATION

Manufacturing Management


MGMT 45200 Manufacturing Strategy MGMT 46200 Adv. Manufacturing Planning and Control

Systems Complete 1 of the following courses:

MGMT 40500 Six Sigma and Quality Management OBHR 47000 MGMT of Adv. Manufacturing Organizations

Complete 2 of the following courses:

MFET 40000 Computer-Integrated Manufacturing IE 47700 Work Methods & Measurement IE 53000 Quality Control MGMT 40500 Tools & Methods for Total Quality Manage-

ment MGMT 49000 Technology Strategy MGMT 54400 Database Management Systems MGMT 54500 Systems Development OBHR 42900 Labor Relations OBHR 47000 MGMT of Adv. Manufacturing Organizations

COURSE DESCRIPTIONS MFET 40000 - Computer-Integrated Manufacturing This course will study the technology associated with computer integrated manufacturing (CIM). Conventional manufacturing technologies and methods will be introduced, followed by computer automation and CIM. The course will include computer-aided design (CAD), automated manufacturing processes, integrated manufacturing processes, integrated manufacturing systems, and other related topics. IE 47700 - Work Methods and Measurement (Need permission from IE department) Pre-req: MGMT 30500 Work analysis; principles and techniques of motion study; nature of human work; design of work methods; work measurement; work sampling; predetermined time systems. IE 53000 - Quality Control (Need permission from IE department) Pre-req: IE 33000 or STAT 51100 or STAT 35000 Principles and practices of statistical quality control in industry. Control charts for measurements and for attributes. Acceptance sampling by attributes and by measurements. Standard sampling plans. Sequential analysis. Sampling inspection of continuous production. MGMT 40500 - Six Sigma and Quality Management Pre-req: MGMT 30500 The course is an undergraduate elective offered as part of the Center for Manufacturing Management Enterprises (CMME) quality initiatives. Provides an overview of various tools and methods for total quality management.

MGMT 45200 - Manufacturing Strategy Pre-req: MGMT 45100 & MGMT 36100 This course examines the management challenges posed by the growth in worldwide manufacturing capabilities, markets, and competition and by rapid advances in technology and the concomitant decline in product life cycles. The manufacturing function is considered within a broader context encompassing design, engineering, purchasing, marketing, and customer service in an effort to assess the degree to which existing management structures successfully meet the challenges arising from the changing manufacturing environment. MGMT 46200 - Advanced Manufacturing Planning and Control Systems Pre or Co-requisite: MGMT 36100 An intensive individual computer lab supplements lectures examining the role of computerized information and control systems in manufacturing. An elaborate series of case studies, enlivened by advanced computer simulations, bring together production planning, master scheduling, materials planning, short-range capacity planning, production floor execution, and quality control. Students plan and execute the production and purchasing of all parts, aided by an integrated MRP/capacity planning/shop-floor control system built into the computer simulation.

MGMT 49000 - Technology Strategy (has not been offered yet) In this course, we will focus of the key factors that drive competition in high tech industries and how firms succeed in such environments. Over the course of the term, we will discuss many important issues, including the environmental factors influencing the development and diffusion of new technologies, competitive and corporate strategy in technology-driven industries, organizational and managerial issues in technological innovation, as well as technology strategy for new & emerging firms. A combination of case discussions, lectures, written analyses, and independent student projects will be used as vehicles to drive the learning process. MGMT 54400 - Database Management Systems Pre-req: MGMT 38200 and MGMT 290 Programming for Business Applications Intensive study of computer-based tools and methods for developing information systems for accounting and other managerial applications. The course has a highly practical orientation; it concentrates on data management techniques as the foundation for constructing information systems. Specific topics include the concept of information as a corporate resource; role of database management systems (BDMS) in management information systems (MIS); data modeling; comparative study of major data models; database design, organization, administration, and evaluation; tool selection criteria; current trends in database systems; and study of some commercial DBMS. MGMT 54500 - Systems Development Pre-req: MGMT 38200 and MGMT 290 Programming for Business Applications Deal with analysis and design of computer-based information systems for organizations using computer-aided software engineering (CASE) tools. The concepts of structured methodologies are highlighted through practical, “real-life” projects. Specific topics include systems development life cycle, structured methodologies, fourth-generation languages (4GL’s), Computer-aided software engineering (CASE), prototyping, end-user computing, data modeling, information architecture, and project management. OBHR 42900 - Labor Relations The course focuses on employee-employer relations. Attention is given to topics in legal aspects of union organizing and collective bargaining, labor unions history and structure in the United States, labor management negotiations, dispute resolution procedures, international labor relations, and labor-management cooperation.

OBHR 47000 - The Management of Advanced Manufacturing Organizations Pre-req: OBHR 42800 This course provides a framework for effectively managing employees in advanced manufacturing organizations. Emphasis is given to (a) understanding the relationship between technology, work system design, employee behavior, and manufacturing effectiveness, and (b) the processes involved in initiating and implementing changes in management policies, products, and technologies.

INDUSTRIAL MANAGEMENT BIOLOGY CONCENTRATION

ALL COURSES FOR THIS CONCENTRATION MUST BE TAKEN AT PURDUE UNIVERSITY. If students follow these guidelines they will also be able to get a biology minor from the College of Science. For up to date information about the College of Science biology minor please contact their office or go online: https://www.science.purdue.edu/academic-programs/minors

BIOL 49300 Intro. to Ethology (3 cr.; fall) BIOL 51100 Intro. to X-Ray Crystallography (3 cr.; spring)

BIOL 51600 Molecular Biology of Cancer (3 cr.; spring) BIOL 51700 Molecular Biology: Proteins (2 cr.; spring)

BIOL 53700 Immunology (3 cr.; spring)

BIOL 53800 Molecular, Cellular & Developmental Neurobiology (3 cr.; spring)

BIOL 55900 Endocrinology (3 cr.; fall) BIOL 57300 Molecular Biology of Animal Cells (3 cr.; fall) BIOL 58000 Evolution (3 cr.; spring) BIOL 59200 Evolution of Behavior (3 cr.; spring)

BIOL 58705 Animal Communication (3 cr.; alternate fall)

BIOL 59500 Developmental Biology (3 cr.; fall)

BIOL 59500 Ecological Statistics (3 cr.; spring)

BIOL 59500 Methods & Measurement in Physical Biochemistry (3 cr.; fall)

BIOL 59500 Protein Bioinformatics (3 cr.; spring)

BIOL 59500 Sensory Ecology (3 cr.; alternate spring)

BIOL 59700 Sex and Evolution (3 cr.; alternate fall)

BIOL 59900 Quantitative Physiology (3 cr.; spring)

BIOL 28600 Introduction to Ecology & Evolution (2 cr.;spring) BIOL 29500 Introduction to Evolution & Ecology (2cr.; fall)

BIOL 301002 Human Anatomy & Physiology (3 cr.; fall) BIOL 302002 Human Anatomy & Physiology (3 cr.; spring)

BIOL 328003 Principles of Physiology (4 cr.; spring)

BIOL 366003 Principles of Development (4 cr.; spring)

BIOL 395003 Macromolecules (3 cr.; fall)

BIOL 41500 Intro. to Molecular Biology (3 cr.; fall) BIOL 41600 Molecular Virology (3 cr.; spring) BIOL 42000 Eukaryotic Cell Biology (3 cr.; fall)

BIOL 43200 Reproductive Physiology (3 cr.; fall)

BIOL 43600 Intro. to Neurobiology (3 cr.; fall)

BIOL 43800 General Microbiology (3 cr.; fall)

BIOL 43900 Microbiology Lab (2 cr.; fall)

BIOL 44400 Human Genetics (3 cr.; fall)

BIOL 44600 Cellular Microbiology (3 cr.; spring)

BIOL 47800 Intro to Bioinformatics (3 cr.; fall)

BIOL 48100 Eukaryotic Genetics (3 cr.; spring) BIOL 48300 Environmental & Conservation Biology (3 cr.;

spring)

Complete at least 1 of the following lab courses:

BIOL 23200 Lab in Cell Structure & Function BIOL 24200 Lab in Genetics & Molecular BIOL BIOL 30100 Human Anatomy & Physiology BIOL 30200 Human Anatomy & Physiology BIOL 32800 Principles of Physiology BIOL 36600 Developmental Biology BIOL 39500 Macromolecules AGRY 32100 Genetics Lab

Science - Biology

Complete 1 of the following sequences (7-8 credits):

Sequence 1:

BIOL 11000 Fundamentals of Biology I (4cr) BIOL 11100 Fundamentals of Biology II (4cr)

Sequence 2: BIOL 12100 BIOL I: Diversity, Ecology, & Behavior (2cr) BIOL 13100 BIOL II: Develop/Structure/Function of Organisms (3cr)

BIOL 13500 First Year Biology Lab (2cr)


BIOL 23100 or BIOL 23000

BIOL III: Cell Structure & Function (3cr) Biology of the Living Cell (3cr)

BIOL 24100 or AGRY 32000

BIOL IV: Genetics & Molecular Biology (3cr) Genetics (3cr)

Complete 1 of the following courses (2-4 credits) check MyPurdue for course descriptions and prerequisites:

COURSE DESCRIPTIONS BIOL 11000 - Fundamentals of Biology I This course is designed primarily to provide an introduction to the principles of biology for students in agriculture and health sciences. Principles of biology, focusing on diversity, ecology, evolution, and the development, structure, and function of organisms.

BIOL 11100 - Fundamentals of Biology II Pre-req: BIOL 11000 This course is designed primarily to provide an introduction to the principles of biology for students in agriculture and health sciences. Continuation of BIOL 11000. Principles of biology, focusing on cell structure and function, molecular biology, and genetics. BIOL 12100 - Biology I: Diversity, Ecology, and Behavior Creates a framework for ordering biology by examining the unity and diversity of life on earth with an emphasis on ecology, genetics, population biology, evolution, and behavior. BIOL 13100 - Biology II : Development, Structure, and Function of Organisms Principles of development of plants and animals and the relationship between the structure and function of selected systems of these organisms. BIOL 13500 - First Year Biology Laboratory Co-req: BIOL 12100 or 13100 and CHM 11500 Laboratory exercises emphasizing student mastery of basic laboratory skills needed to succeed in the biological sciences; intended for beginning (first-year) biology majors.

BIOL 23000 - Biology of the Living Cell Pre-req: CHM 11600 and MA 16200 An introduction to modern cell biology for students who may not have taken a previous college course in biology. All students with the appropriate prerequisites are welcome, and this course will be of special interest to students from engineering, chemistry, physics and computer science. This course will provide a solid foundation in modern cell biology concepts for engineers and students from other disciplines.

BIOL 23100 - Biology III: Cell Structure and Function Pre-req: BIOL 13100 or BIOL 11100 and CHM 11600 An introduction to modern cell biology through and examination of the physical and chemical properties that lead to an understanding of the molecular basis for cell function.

BIOL 24100 - Biology IV: Genetics and Molecular Biology Pre-req: BIOL 23100 or 23000 and CHM 11600 An introduction to the principles of classical genetics and to molecular genetics. Topics covered are transmission of the genetic material, changes in the genetic material, structure, function of the genetic material, and the manipulation of genetic material. AGRY 32000 - Genetics Pre-req: BIOL 11000 and 11100 The transmission of heritable traits; probability; genotypic-environmental interactions; chromosomal aberrations; polyploidy; gene mutations; genes in populations; the structure and function of nucleic acids; biochemical genetics; molecular genetics; coding.

INDUSTRAIL MANAGEMENT CHEMISTRY CONENTRATION

ALL COURSES FOR THIS CONCENTRATION MUST BE TAKEN AT PURDUE UNIVERSITY FROM THE CHEMISTRY DEPARTMENT.

The Chemistry minor is designed to give the student basic knowledge of general, organic, inorganic, and analytical chemistry. If students follow these guidelines they will also be able to get a Chemistry minor from the College of Science. For up to date information about the College of Science Chemistry minor please contact their office or go online: https://www.science.purdue.edu/academic-programs/minors PREREQUISITE COURSES CHM 11500 General Chemistry (4) CHM 11600 General Chemistry (4) MA 16100 Plane Analytic Geometry and Calculus I (5) or MA 16500 Plane Analytic Geometry and Calculus I (4)

Science - Chemistry Complete 16 hours beyond CHM 11500 and CHM 11600 in additional general chemistry courses. CHEM 22400, CHEM 25700, and CHEM 33300 cannot be used to fulfill this requirement; 3 credits of CHEM 49900 may be used to fulfill this requirement.

INDUSTRIAL MANGEMENT EARTH, ATMOSPHERIC AND PLANETARY SCIENCE CONCENTRATION

ALL COURSES FOR THIS CONCENTRATION MUST BE TAKEN AT PURDUE UNIVERSITY. If students follow these guidelines they will also be able to get a EAPS minor from the College of Science. For up to date information about the College of Science EAPS minor please contact their office or go online: https://www.science.purdue.edu/academic-programs/minors

COURSE DESCRIPTIONS EAPS 11100 - Physical Geology Geologic processes and the development of land forms. Laboratory covers the study of minerals and rocks, the interpretations of topographic and geologic maps, and field investigations. EAPS 22100 - Survey of Atmospheric Science An introductory course for both science and nonscience students. A general study of the atmosphere, basic meteorological principles, and weather systems. Relationships of the changing atmosphere to climate ozone depletion, and other contemporary issues. EAPS 22500 - Science of the Atmosphere An overview of the physics and dynamics of the atmosphere. Quantitative study of the energy balance of the atmosphere, condensation and precipitation processes, atmospheric motion and global circulation, severe storms, atmospheric chemistry. Contemporary issues such as human impact on climate, ozone depletion, numerical weather prediction and climate simulation, and modern measurement systems. Not available to students with credit in EAPS 22100. Intended for Science and Engineering majors only. Prior course work in calculus is required.

EAPS 23000 - Laboratory in Atmospheric Science Pre-req/Co-req: EAPS 22100 or EAPS 22500 A laboratory course that introduces the fundamentals of atmospheric science through quantitative exercises. The theoretical exercises include the vertical structure of the atmosphere, the Earth's energy budget, atmospheric moisture, saturation and stability, clouds and precipitation and atmospheric motion. Data and map analysis exercises include mid-latitude cyclones, thunderstorms and tornadoes, hurricanes and controls of climate. Prior or current course work in introductory atmospheric science is required. This course may not be taken for credit by students in the atmospheric science option of the Department of Earth, Atmospheric and Planetary Science.

Science - Earth, Atmospheric and Planetary Sciences

Complete the following courses (7 credit hours):

EAPS 11100 Physical Geology

EAPS 22100 or EAPS 22500

Intro to Atmospheric Science Science of the Atmosphere

EAPS 23000 Laboratory in Atmospheric Sciences

Complete 10 additional credit hours in EAPS:

Only one of the additional courses may be at the 10000 level.

All courses for this minor must be taken at Purdue

INDUSTRAIL MANAGEMENT MATHEMATICS CONCENTRATION

ALL COURSES FOR THIS CONCENTRATION MUST BE TAKEN AT PURDUE UNIVERSITY. If students follow these guidelines they will also be able to get a math minor from the College of Science. For up to date information about the College of Science math minor please contact their office or go online: https://www.science.purdue.edu/academic-programs/minors PREREQUISITE COURSES MA 16100 or MA 16500 Plane Analytic Geometry and Calculus I MA 16200 or MA 16600 Plane Analytic Geometry and Calculus II MA 26100 Multivariate Calculus

Science - Math


MA 26500 Linear Algebra MA 35100 Elementary Linear Algebra MA 51100 Linear Algebra with Applications


MA 34100 Foundations of Analysis

MA 44000 Real Analysis Honors MA 45000 Algebra Honors MA 45300 Elements of Algebra


Analysis area: MA 30100 Introduction to Proof through Real Analysis MA 34100 Foundations of Analysis MA 44000 Real Analysis – Honors MA 36200 or MA 51000

Topics in Vector Calculus Vector Calculus

MA 42500 or MA 52500

Elements of Complex Analysis Introduction to Complex Analysis

Algebra & Discrete Mathematics area:

MA 37500 Introduction to Discrete Mathematics MA 38500 Introduction to Logic MA 45300 or MA 45000

Elements of Algebra Algebra Honors

MA 45400 Galois Theory – Honors Linear Algebra area: MA 35300 Linear Algebra II Differential Equations area: MA 36600 or MA 30300 or MA 30400

Ordinary Differential Equations Differential Equations for ENGR and Science Differential Equations & Analysis of Nonlinear Systems for ENGR and Science

MA 42800 Introduction to Fourier Analysis MA 52000 Boundary Value Problems of Differential Equations

MA 52300 Introduction to Partial Differential Equations

COURSE DESCRIPTIONS MA 26500 - Linear Algebra Pre-req: MA 16200 or 16600 or 17300 and MA 26100 Introduction to linear algebra. Systems of linear equations, matrix algebra, vector spaces, determinants, eigenvalues and eigenvectors, diagonalization of matrices, applications. Not open to students with credit in MA 26200, 27200, 35000, or 35100. MA 30100 - An Introduction to Proof Through Real Analysis Pre-req: MA 16200 or MA 16600 An introduction to abstract reasoning in the context of real analysis. Topics may include axioms for the real numbers, mathematical induction, formal definition of limits, density, decimal representations, convergence of sequences and series, continuity, differentiability, the extreme value, mean value and intermediate value theorems, and cardinality. The emphasis, however, is more on the concept of proof than on any one given topic. MA 30300 - Differential Equations and Partial Differential Equations for Engineering and the Sciences Pre-req: MA 26200 or MA 26500 This is a methods course for juniors in any branch of engineering and science, designed to follow MA 26200. Basic techniques for solving systems of linear ordinary differential equations. Series solutions for second order equations, including Bessel functions, Laplace transform, Fourier series, numerical methods, separation of variables for partial differential equations and Sturm-Liouville theory. Not open to students with credit in MA 30400.

MA 30400 - Differential Equations and Analysis of Nonlinear Systems for Engineering and the Sciences Pre-req: MA 27200 or MA 26500 and MA 36600 This is a differential equations course designed to follow MA 26500-26600. Same description as MA 30300 except that material on the qualitative behavior of solutions to nonlinear systems is substituted for material on Laplace transforms. Not open to students with credit in MA 30300.

MA 34100 - Foundations of Analysis Pre-req: MA 26100 An introductory course in rigorous analysis, covering real numbers, sequences, series, continuous functions, differentiation, and Riemann integration. MA 30100 is helpful but not required. MA 35100 - Elementary Linear Algebra Pre-req: MA 26100 Systems of linear equations, finite dimensional vector spaces, matrices, determinants, applications to analytic geometry. Not open to students with credit in MA 26500.

MA 35300 - Linear Algebra II with Applications Pre-req: MA 26500 or MA 35100 Factoring matrices, orthogonal projections (with application to least squares estimation), diagonalization and Jordan canonical from (with applications to Markov chains and systems of differential equations), Hermitian matrices, convexity (with application to linear programming), and other applications from science, engineering, economics, or business. Not open to students with credit in MA 51100. MA 36200 - Topics in Vector Calculus Pre-req: MA 26100 Pre-req/Co-req: MA 35100 or MA 26500 Multivariate calculus; partial differentiation; implicit function theorems and transformations; line and surface integrals; vector fields; theorems of Gauss, Green, Stokes. Credit granted for only one of MA 36200 or 51000. MA 36600 - Ordinary Differential Equations (4 credits) Pre-req: MA 26100 Pre-req/Co-req: MA 35000 or MA 26500 An introduction to ordinary differential equations with emphasis on problem solving and applications. The one-hour computer lab will give students an opportunity for hands-on experience with both the theory and applications of the subject. MA 37500 - Introduction to Discrete Mathematics Pre-req: MA 26100 Induction, permutations, combinations, finite probability, relations, graphs, trees, graph algorithms, recurrence relations, generating functions. Credit granted for only one of MA 27600 and MA 37500. MA 38500 - Introduction to Logic Pre-req: MA 26100 Propositional calculus and predicate calculus with applications to mathematical proofs, valid arguments, switching theory, and formal languages.

MA 42500 - Elements of Complex Analysis Pre-req: MA 26100 Complex numbers and complex-valued functions; differentiation of complex functions; power series, uniform convergence; integration, contour integrals; elementary conformal mapping. MA 42800 - Introduction to Fourier Analysis Topics include: Fourier series, convolutions, kernels, summation methods, Fourier transforms, applications to the wave, heat, and Laplace equations. Prerequisites: Vector calculus and linear algebra.

MA 44000 - Real Analysis Honors Pre-req: MA 26100 Basic real analysis, limits, continuity, differentiation, and integration.

MA 45000 - Algebra Honors Pre-req: MA 26500 or MA 35100 This course, which is essentially the first half of MA 55300, is recommended for students wanting a more substantial background in algebra than is afforded by MA 45300, in particular students intending to do graduate work in science or engineering. Topics include the elements of number theory and group theory; unique factorization in polynomial rings and in principal ideal domains. MA 45300 - Elements of Algebra I Pre-req: MA 26500 or MA 35100 Fundamental properties of integers, polynomials, groups, rings, and fields, with emphasis on problem solving and applications. Not open to students with credit in MA 45000.

MA 45400 - Galois Theory Pre-req: MA 45000 or MA 45300 An introduction to Galois theory, covering both its origins in the theory of roots of polynomial equations and its modern formulation in terms of abstract algebra. Topics include finite extension fields and their symmetries, ruler and compass constructions, complex roots of unity, solvable groups, and the solvability of polynomial equations by arithmetic and radical operations. MA 51000 - Vector Calculus Pre-req: MA 26200 or MA 27200 Calculus of functions of several variables and of vector fields in orthogonal coordinate systems. Optimization problems, implicit function theorem, Green's theorem, Stokes' theorem, divergence theorems. Applications to engineering and the physical sciences. Not open to students with credit in MA 36200 or 41000.

MA 51100 - Linear Algebra with Applications Pre-req: MA 26200 or MA 27200 Real and complex vector spaces; linear transformations; Gram-Schmidt process and projections; least squares; QR and LU factorization; diagonalization, real and complex spectral theorem; Schur triangular form; Jordan canonical form; quadratic forms.

MA 52000 - Boundary Value Problems of Differential Equations Pre-req: MA 30300 or MA 30400 or MA 30200 Separation of variables; Fourier series; boundary value problems; Fourier transforms; Bessel functions; Legendre polynomials.

MA 52300 - Introduction to Partial Differential Equations Pre-req: MA 30300 or MA 30400 or MA 34100 or MA 3600 or MA 44000 or MA 44100 and MA 36200 or MA 41000 or MA 51000 First order quasi-linear equations and their applications to physical and social sciences; the Cauchy-Kovalevsky theorem; characteristics, classification and canonical forms of linear equations; equations of mathematical physics; study of Laplace, wave and heat equations; methods of solution. MA 52500 - Introduction to Complex Analysis Pre-req: MA 36200 or MA 41000 or MA 51000

Complex numbers and complex-valued functions of one complex variable; differentiation and contour integration; Cauchy's theorem; Taylor and Laurent series; residues; conformal mapping; applications. Not open to students with credit in MA 42500.

INDUSTRIAL MANAGEMENT PHYSICS CONCENTRATION

ALL COURSES FOR THIS CONCENTRATION MUST BE TAKEN AT PURDUE UNIVERSITY. If students follow these guidelines they will also be able to get a physics minor from the College of Science. For up to date information about the College of Science physics minor please contact their office or go online: https://www.science.purdue.edu/academic-programs/minors

COURSE DESCRIPTIONS PHYS 15200 - Mechanics Pre-req: MA 16200 or MA 16600 Statics, uniform and accelerated motion; Newton's laws; circular motion; energy, momentum, and conservation principles; dynamics of rotation; gravitation and planetary motion; hydrostatics and hydrodynamics; simple harmonic motion; wave motion and sound.

PHYS 17200 - Modern Mechanics Pre-req: MA 16100 or MA 16500 or MA 22300 and MA 22400 Introductory calculus-based physics course using fundamental interactions between atoms to describe Newtonian mechanics, conservation laws, energy quantization, entropy, the kinetic theory of gases, and related topics in mechanics and thermodynamics. Emphasis is on using only a few fundamental principles to describe physical phenomena extending from nuclei to galaxies. 3-D graphical simulations and numerical problem solving by computer are employed by the student from the very beginning.

PHYS 24100 - Electricity and Optics Pre-req: PHYS 15200 or 17200 Electrostatics, current electricity, electromagnetism, magnetic properties of matter, Electromagnetic waves, geometrical and physical optics. PHYS 24200 - Introduction to Heat and Thermal Physics A general introduction to thermodynamics for students in science and engineering who have a basic calculus and mechanics background. PHYS 25200 - Electricity and Optics Laboratory Pre-req/Co-req: PHYS 24100 or PHYS 27200 Selected experiments in electric fields, magnetic fields, steady-state and transient d.c. circuits, thermodynamics, and optics.

Science - Physics

Complete 1 of the following course sequences:

Sequence 1: PHYS 15200 and PHYS 24200 or PHYS 17200

Mechanics (4cr) Introduction to Heat & Thermal Physics (1cr) Modern Mechanics (4cr)

Sequence 2: PHYS 24100 and PHYS 25200 or PHYS 27200

Electricity and Optics (4cr) Electricity and Magnetism Laboratory (1cr) Electric and Magnetic Interactions (4cr)


PHYS 34200 or PHYS 34400

Modern Physics (3cr) Modern Physics – Honors (4cr)

PHYS 34000 Modern Physics Lab (1cr) Complete 6 additional credit hours at or above the 300 level in Physics.

PHYS 27200 - Electric and Magnetic Interactions Pre-req: PHYS 17200 or 15200 and MA 166600 or MA 16200 Calculus-based physics course using concepts of electric and magnetic fields and an atomic description of matter to describe polarization, fields produced by charge distributions, potential, electrical circuits, magnetic forces, induction, and related topics, leading to Maxwell's equations and electromagnetic radiation and an introduction to waves and interference. 3-D graphical simulations and numerical problem solving by computer are employed throughout.

PHYS 34000 - Modern Physics Laboratory Pre-req: PHYS 24100 or 27200 Co-req: PHYS 34200 or 34400 Laboratory experiments to accompany PHYS 34200 or 34400. PHYS 34200 - Modern Physics Pre-req: PHYS 24100 A survey of basic concepts and phenomena in atomic, nuclear, and solid-state physics. PHYS 34400 - Modern Physics Pre-req: PHYS 27200 or 25200 or 241000 Survey of modern physics primarily intended for physics majors. Special relativity; particle properties of electromagnetic radiation; wave properties of particles; uncertainty principle; atomic spectra and X-rays; nuclear structure; elementary particles; statistical distribution laws; physics of atoms, molecules and condensed matter such as solids.

INDUSTRIAL MANAGEMENT STATISTICS CONCENTRATION

ALL COURSES FOR THIS CONCENTRATION MUST BE TAKEN AT PURDUE UNIVERSITY. If students follow these guidelines they will also be able to get a statistics minor from the College of Science. For up to date information about the College of Science statistics minor please contact their office or go online: https://www.science.purdue.edu/academic-programs/minors PREREQUISITES MA 16100 Plane Analytic Geometry and Calculus I or MA 16500 Plane Analytic Geometry and Calculus I or MA 22300 and Introductory Analysis I MA 22400 Introductory Analysis II

COURSE DESCRIPTIONS STAT 51200 - Applied Regression Analysis Pre-req: STAT 50300 or 51100 or 51700 or STAT 35000 Inference in simple and multiple linear regression, residual analysis, transformations, polynomial regression, model building with real data, nonlinear regression. One way and two way analysis of variance, multiple comparisons, fixed and random factors, analysis of covariance. Use of existing statis-tical computer programs. STAT 51300 - Statistical Quality Control Pre-req: STAT 51100 or STAT 35000 or MGMT 30500 A strong background in control charts including adaptations, acceptance sampling for attributes and variables data, stan-dard acceptance plans, sequential analysis, statistics of com-binations, moments and probability distributions, applica-tions. Offered in alternate years.

STAT 51400 - Design of Experiments Pre-req: STAT 51200 Fundamentals, completely randomized design; randomized complete blocks; latin square; multi-classification; factorial; nested factorial; incomplete block and fractional replications for 2n, 3n, 2m x 3n; confounding; lattice designs; general mixed factorials; split plot; analysis of variance in regression models; optimum design. Use of existing statistical programs.

Science - Statistics Complete the following courses:

STAT 51200 Applied Regression Analysis

STAT 51300 Statistical Quality Control STAT 51400 Design of Experiments

Complete 6 additional credit hours in Statistics – STAT 22500 or MGMT 30500 may not fulfill this minor.

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