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Minia university Faculty of Engineering Dept. Of Mech. Power and Energy

COURSE SPECIFICATION

1. Administrative Information

Course Title :Engineering Mathematics (1)

Code :FS111

Department offering the course : Mechanical power and Energy Program on which the course is given : Undergraduate level

Department offering the program : Mechanical power and Energy

Academic year :First Year

Semester : First semester

Date of specification/revision :2004 Date of approval by Departmental/Faculty :05/10/2020 Taught hours:

Lecture:4hrs/week Tutorial:2hrs/week Practical: None hrs/week others: None Total:6hrs/week

2. Overall Aims of the Course

This course is designed to:

• help the students to apply knowledge of integration, differentiation, differential equations, and numerical methods in solving engineering.

3. Intended Learning Outcomes of the course (ILOs):

a- Knowledge and understanding (𝑨

𝟏

, 𝑨

𝟓

) Upon completing this course, the student should be able to:

a

1

- Define

the main concepts of differentiation, integration and linear algebra

. 𝐚

𝟐

-Explain

the different types and methods of solving differential equations

. a

3

- Mention

the different types and methods of solving differential equations

. 𝐚

𝟒

- Discuss

the techniques of different numerical methods

.

b- Intellectual Skills(𝑩

𝟏

𝑩

𝟐

)

Upon completing this course, the student should be able to:

b

1

- Select

the appropriate engineering mathematics theories and concepts to apply them in solving problems that related to mechanical power and energy engineering.

b

2

- Use

spreadsheets (Microsoft Excel)for solving systems of equations and calculate numerical integrals.

c- Professional and practical skills(𝑪

𝟏

)

Upon completing this course, the student should be able to:

c

1

- Select

the suitable method for solving systems of equations (linear and partial).

c

2

-Apply

the mathematical theories and principles in solving real life problems.

𝐜

𝟑

-Prepare a

spreadsheet (Microsoft excel) tool to solve the system of linear equations.

d- General and transferable skills(𝑫

𝟏

, 𝑫

𝟐

) Upon completing this course, the student should be able to:

d

1

- Communicate

effectively and collaborate with others in a team.

d

2

- Manage task

efficiently.

(2)

MPE Course Specification FS 111

2 4. Syllabus

Topics CONTENTS

Topic (1) Integral theorems and its applications Topic (2) Ordinary differential equations Topic (3) Some orthogonal functions Topic (4) Partial differential equation

Topic (5) Direct methods for solving linear systems Topic (6) Iterative Techniques in Matrix Algebra Topic (7) Numeric integration and differentiation Topic (8) Numeric for ordinary differential equations

5. Teaching and Learning Methods:

5.1. Lectures.

5.2. Discussion.

5.3. Tutorial.

5.4. Team work.

5.5. Office hours.

5.6. Self-learning.

6. Students Assessment:

6.1. Students Assessment Methods:

6.1.1. Tutorial 6.1.2. Reports

6.1.3. Mid-term exams 6.1.4. Written exam 6.2. Assessment schedule:

6.2.1. Tutorial

An assignment every two weeks

6.2.2. Reports

Scheduled by the instructor)

6.2.3. Mid-term exams

First Mid-term Week # 8

Second Mid-term Week # 12

6.2.4. Written exam

Scheduled by the faculty council

6.3. Weighing of assessments:

Semester Work (Tutorials and Reports) 13 %

Mid-Term Exam 20 %

Final Exam 67 %

Total 100 %

7. List of References:

7.1.

Course notes:

Handouts and presentation slides prepared by the instructor

7.2. Essential books (textbooks):

1- Kreyszig, E., 2010, Advanced Engineering Mathematics. 10th ed.: John Wiley & Sons, Limited.

1283.

2- Kreyszig, E., 2006, Advanced Engineering Mathematics. 9th ed. John Wiley & Sons, Limited.

1246.

7.3. Recommended books:

1- Kreyszig, E., 2006, Advanced Engineering Mathematics. 9th ed. John Wiley & Sons, Limited.

1246.

2- Nagle, R. K., E. B. Saff, and A. D. Snider, 2012, Fundamentals of Differential Equations. 8th ed.: Pearson Education, Inc. 719.

3- Richard L. Burden & J. Douglas Faires, 2010m Numerical Analysis 9th Edition,.

7.4.

Periodicals, websites, etc.:

---None---

(3)

MPE Course Specification FS 111

3

8.

Other Resources/ Facilities of teaching and learning required for achieving the above ILOs:

-

• Class rooms

• Data show device

• Student library

9. We certify that all of the information required to deliver this course is contained in the above specification and will be implemented.

Course Coordinator:

Dr. Elsadek Hassan Noureldeen Signature ………

Date: Oct. 2020

Head of Department

Prof. Dr. Ibrahim M. M. El-Moghazy Signature ………

Date: Oct. 2020

(4)

MPE Course Specification FS 111

4

Course Curriculum Map Course title: Engineering Mathematics (1).

Course coordinators: Dr. Elsadek Hassan Noureldeen Course Aim: This course is designed to

Help the students to apply knowledge of integration, differentiation, differential equations, and numerical methods in solving engineering Course

code

Intended Learning Outcomes (ILOs)

Topics

Week

# Teaching Methods Assessment

Methods Evidences Knowledge

and understanding

Intellectual skills

Professional and practical

skills

General and transferable

skills

FS 111

𝐚

𝟏

+ 𝐚

𝟑

𝐛

𝟏

𝐝

𝟏

+ 𝐝

𝟐

Integral theorems and its

applications

1

Lectures + Tutorials +Office hours

Tutorials, and Reports

Mid Term exam Final exam

Course file, Exam samples,

Regular reports, Assignment

𝐚

𝟏

+ 𝐚

𝟐

𝐛

𝟏

𝐝

𝟏

+ 𝐝

𝟐

Ordinary differential

equations

2-3

Lectures + Tutorials +Office hours

𝐚

𝟏

𝐛

𝟏

𝐝

𝟏

+ 𝐝

𝟐

Some orthogonal

functions

4

Lectures + Tutorials +Office hours

𝐚

𝟏

+ 𝐚

𝟐

𝐛

𝟏

𝐜

𝟐

𝐝

𝟏

+ 𝐝

𝟐

Partial differential

equations

5-6 Lectures + Tutorials + Office hours

𝐚

𝟐

𝐛

𝟏

+ 𝐛

𝟐

𝐜

𝟏

+ 𝐜

𝟑

𝐝

𝟏

+ 𝐝

𝟐

Direct methods for

solving linear systems

7-8

Lectures + Tutorials +Office hours +self-

learning

𝐚

𝟏

+ 𝐚

𝟒

𝐛

𝟏

+ 𝐛

𝟐

𝐜

𝟏

+ 𝐜

𝟑

𝐝

𝟏

+ 𝐝

𝟐

Iterative Techniques in

Matrix Algebra

9-10

Lectures + Tutorials +Office hours

𝐚

𝟏

𝐛

𝟐

𝐜

𝟐

𝐝

𝟏

+ 𝐝

𝟐

Numeric integration and

differentiation

11-12 Lectures + Tutorials +Office hours

𝐚

𝟏

+ 𝐚

𝟒

𝐛

𝟏

𝐜

𝟐

𝐝

𝟏

+ 𝐝

𝟐

Numeric for ordinary

differential equations

13

Lectures + Tutorials +Office hours

Department Head: Prof. Dr. Ibrahim M. M. El-Moghazy

Referencias

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