engr196 spring14

ENGR 196

Engineering Problem Solving(ENGR 196)

Credit Hours: 3

Class Hours: Section 1 M W 8-9amSection 2 T TH 8-9amSection 3 T TH 10-11am

LabSection 1 T 12-2pmSection 2 W 12-2pmSection 3 TH 12-2pm

Consultation Hours:

Semester: Spring 2014

Instructor: Engr. Mohd Faizal Fauzan

Office: 18 Staff room

Prerequisites: -

Text book: Engineering Fundamentals and Problem Solving by Arvid R.Eide, Roland D. Jenison, Larry L. Northup and Steven K. Mikelson, McGraw-Hill International Editions, 6th Edition, 2012.

References:

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1. Foundations of Engineering by Mark T. Holtzapple and W. Dan Reece, McGraw-Hill International Editions, 2nd Edition, 2003

2. MATLAB Programming for Engineers by Stephen J. Chapman, Nelson Engineering, 2th edition, International Student Edition, Cengage Learning 2009.

ENGR 196

Course Description: The course is a survey of concepts, theories, research and ideas which comprise the core of Sociology. Topics covered will examine the sociological perspective, sociological research, cultural debates, the process of socialization, deviance and crime, stratification-various types of oppression, inequalities, prejudice and

Introduction to engineering: major engineering disciplines including latest technologies like nanotechnology, biotechnology; Introduction to computers and flowcharts; SI and USCS units, conversion of units and equations; Pressure, temperature and energy; Problem solving techniques; Engineering communication and report writing; Statistics, summary diagrams, normal distribution; Engineering economy; Engineering design and Introduction to MATLAB features: variables, arrays, functions, input/output statements, control structures, looping, user defined functions and plotting.

Learning Outcomes:

At the end of the course, students will be able to:1. Determine a right engineering major and plan their

course selection for the subsequent semesters.2. Describe the latest development in the field of

engineering. 3. Solve problems logically and methodically.4. Write MATLAB code to solve engineering problems.

Taylor’s Graduate Capabilities:1.0 Discipline-specific knowledge

Able to put theories into practice Understand ethical issues in the context of the field of

study Understand professional practice within the field of

study2.0 Thinking and Problem Solving Skills

Think critically and creatively Define and analyze problems to arrive at effective

solutions3.0 Citizenship and Global Perspectives

Be aware of and form opinions from diverse perspectives

Understand the value of civic responsibility and community engagement

4.0 Digital Literacy Effective use of Information and Communication

Technology (ICT) and related technologies

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ENGR 196

* Upon successful completion of this module, a student should be equipped withTGC 1 TGC 2 TGC 3 TGC 4

Course Evaluation:

Assessment Student Learning Outcomes

TGC’s Percentage

Quizzes 1,2 5%

Tests 1,2,3 15%

Project 2,3 20%

Lab 5 20%

Attendance & Participation 10%Final Examination 1,2,3,4 30%

Total 100%

The following grading scale will be used:Percentage Grade Points per

credit hourPercentage Grade Points per

credit hour97-10090-9687-8984-8680-8377-7974-76

A+AA-B+BB-C+

4.004.003.703.303.002.702.30

70-7367-6964-6660-6355-590-54

CC-D+DD-F

2.001.701.301.000.70

0.00

The final grade for the course may be curved by moderating the students’ raw scores.

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ENGR 196

Class Policies: Attendance & Class Participation: Regular attendance and punctuality are required of all students. Students should be aware that there absence from lectures may jeopardize the successful completion of the course. Absences need to be supported by medical certificates or letter from parents/guardians.Allocation of 10% marks for attendance and participation are specially to emphasize the importance of participation in class which requires you to pre-read the topic, ask questions, answer or comment on other students’ questions or remarks, elaborate, support or critique your classmate’s comment.

Academic integrity: The program is committed to academic integrity which refers to plagiarism and cheating during exams among other things. Plagiarism is copying others’ language, ideas and information, etc, without acknowledging the source. Student’s work may be checked for plagiarism by text comparison software. All sociology assignments are to be referenced using APA referencing system.

Assessment Summary

Form of assessment Length Weighting Due date Learning Outcomes

being assessed

TGC

achieved

1. Quiz 1/2 hour /

week

5% Week 2-14 1,2

2. Group Projects 10 hours

(preparing)

1 hour

(testing)

20% Week 10 2,3

3. Lab works 1 hour /

week

20% Week 2-14 4

4. Tests, class

participation and class

work

1 hour /

week

25% Week 2-9 1,2,3

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ENGR 196

Final Examination 30% 1,2,3,4

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ENGR 196

Scheme of work:

Course Schedule (the course instructor reserves the right to modify the work schedule as and when deemed necessary)Week Topic Learning

OutcomesTeaching &

Learning Activities

Readings Assessment Taylor’s Graduate

Capabilities1 The Engineering Profession 1, 4 1. Lecture and

discussionChapter 1 1. Quiz/test

2 Education for Engineering

Lab 1: Introduction to MATLAB; Matlab environment command window, workspace, edit/debug window, Matlab search path, Some important commands

1, 2, 3, 4 1. Lecture and discussion2. Lab

Chapter 2 1. Quiz/test2. Lab assignment

3 Introduction to Engineering Design

Lab 2: Subarrays, disp function, scalar & array operations; built-in matlab function



4 Engineering Solutions

Lab 3: Branching statements; Relational & logical operators, decision making – if-else control structures



5 Representation of Technical Information

Lab 4: Decision making –switch construct, try/catch construct



6 Engineering Measurements and Estimations

Lab 5: Introduction to plotting



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ENGR 196

Week Topic Learning Outcomes

Teaching & Learning Activities


Capabilities7 Dimensions, Units, and Conversions

Lab 6: Loops – while loop, for loop



8 - Introduction to Engineering Economics - Economics: Decision Making

Lab 7: Logical Arrays & Vectorization


Chapter 8Chapter 9

1. Quiz/test2. Lab assignment

9 - Statistics- Inferential Statistics and Decision Making

Lab 8: User-defined functions & statistics problems


Chapter 10Chapter 11


10 - Mechanics: Statics- Mechanics: Strength of Materials

Lab 9: Input/output functions and curve fitting problems

1, 2, 3, 4 1. Lecture and discussion2. Lab3. Project testing


1. Quiz/test2. Lab assignment3. Performance of the product will be measured

11 Material Balance

Lab 10: Introduction to GUI



12 - Energy Sources and Alternatives- Fundamental Energy Principles

Lab 11: Introduction to GUI




13 Electrical Theory

Lab 12: Matlab Application 1



14 Electrical Theory

Lab 13: Matlab Application 2

1, 2, 3, 4 1. Lecture and discussion


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ENGR 196

Week Topic Learning Outcomes

Teaching & Learning Activities


Capabilities2. Lab

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engr196 spring14

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