City University of Hong Kong Course Syllabus offered by Department [PDF]

Dean G. Duffy, Advanced engineering mathematics. Boca Raton, Fla. : CRC Press, 1998. 3. Erwin Kreyszig, Advanced enginee

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City University of Hong Kong Course Syllabus offered by Department of Architecture and Civil Engineering with effect from Semester A 2015 / 2016

Part I

Course Overview

Course Title:

CA2123

Course Code:

Engineering Methods

Course Duration:

1 Semester

Credit Units:

3 Credits

Level:

B2 Arts and Humanities

Proposed Area: (for GE courses only)

Study of Societies, Social and Business Organisations Science and Technology

Medium of Instruction:

English

Medium of Assessment:

English

Prerequisites: (Course Code and Title)

Precursors:

Nil

(Course Code and Title)

Nil

Equivalent Courses: (Course Code and Title)

BC2123/BC2123P Engineering Methods

Exclusive Courses: (Course Code and Title)

Nil

Part II 1.

Course Details

Abstract (A 150-word description about the course)

The course intends to provide students with knowledge in analytical/mathematical skills for preparing them readily to undertaking courses in civil and architectural engineering.

2.

Course Intended Learning Outcomes (CILOs) (CILOs state what the student is expected to be able to do at the end of the course according to a given standard of performance.)

No.

CILOs#

1.

Evaluate mathematical methods used in analysis and design of civil and architectural engineering problems Discover mathematical theories and apply them to basic engineering problems; Explain the importance of mathematical methods and theories for the fundamentals of more advanced studies Simplify complicated engineering problems and discover their corresponding solutions

2. 3. 4.

Weighting* (if applicable)

20%

Discovery-enriched curriculum related learning outcomes (please tick where appropriate) A1 A2 A3 √

30%



20%



30%



* If weighting is assigned to CILOs, they should add up to 100%. 100% # Please specify the alignment of CILOs to the Gateway Education Programme Intended Learning outcomes (PILOs) in Section A of Annex. A1:

A2:

A3:

Attitude Develop an attitude of discovery/innovation/creativity, as demonstrated by students possessing a strong sense of curiosity, asking questions actively, challenging assumptions or engaging in inquiry together with teachers. Ability Develop the ability/skill needed to discover/innovate/create, as demonstrated by students possessing critical thinking skills to assess ideas, acquiring research skills, synthesizing knowledge across disciplines or applying academic knowledge to self-life problems. Accomplishments Demonstrate accomplishment of discovery/innovation/creativity through producing /constructing creative works/new artefacts, effective solutions to real-life problems or new processes.

3.

Teaching and Learning Activities (TLAs) (TLAs designed to facilitate students’ achievement of the CILOs.)

TLA Lecture

Tutorial

Brief Description

4 √

Hours/week (if applicable) 2 hours/week





1 hour/week

Address the basic principles and theories for Multiple Integration, Ordinary Differential Equation and Curve Fitting. Explain how to get the solutions. √

Semester Hours: Lecture/Tutorial/Laboratory Mix:

4.

CILO No. 1 2 3 √ √ √



3 hours per week Lecture (2); Tutorial (1); Laboratory (0)

Assessment Tasks/Activities (ATs) (ATs are designed to assess how well the students achieve the CILOs.)

Assessment Tasks/Activities Continuous Assessment: 50 % Assignment

CILO No. 1 2 3 √

Mid-term test Examination: 50 % (duration: 2 hours) * The weightings should add up to 100%.

√ √



Weighting*

Remarks

4 √

30% 20% 100%

To pass a course, a student must obtain minimum marks of 30% in both coursework and examination components, and an overall mark of at least 40%.

 

5.

Assessment Rubrics (Grading of student achievements is based on student performance in assessment tasks/activities with the following rubrics.) Assessment Task

Criterion

Excellent (A+, A, A-)

Good (B+, B, B-)

Adequate (C+, C, C-)

Marginal (D)

Failure (F)

1. Mid-term test

ABILITY to APPLY the basic principle and the scientific techniques in solving the problems involved in (1) Multiple integrals for finding volume, area, mass and inertia moment of structures, (2) Ordinary differential equation and (3) curve fitting techniques. ABILITY to USE suitable techniques to solve an engineering problem. CAPACITY to UNDERSTAND the mathematical theories and USE them in solving an engineering problem.

High

Significant

Moderate

Basic

Not even reaching marginal levels

High

Significant

Moderate

Basic

Not even reaching marginal levels

High

Significant

Moderate

Basic

Not even reaching marginal levels

2. Assignment

3. Examination

Course Syllabus Jan 2015

4

  Part III 1.

Other Information (more details can be provided separately in the teaching plan)

Keyword Syllabus (An indication of the key topics of the course.)

Multiple integrals, Numerical integration, Ordinary differential equation, Approximate mathematical solution approaches, Gaussian quadratures in integration, Least squares regression, and Interpolation.

2. Reading List 2.1 Compulsory Readings (Compulsory readings can include books, book chapters, or journal/magazine articles. There are also collections of e-books, e-journals available from the CityU Library.)

1. 2. 3.

Robert T. Smith, Roland B. Minton, Calculus, 4th Edition, New York : McGraw-Hill c2012. Erwin Kreyszig, Advanced Engineering Mathematics, Seventh Edition, John Wiley & Sons, Inc. 1993. C.R. Wylie, L.C. Barrett, Advanced Engineering Mathematics, Sixth Edition, McGraw-Hill 1995.

2.2 Additional Readings (Additional references for students to learn to expand their knowledge about the subject.)

1. 2. 3. 4. 5. 6. 7. 8.

Course Syllabus Jan 2015

Michael D. Greenberg, Advanced Engineering Mathematics. (2th edition). Prentice-Hall International, Inc. New Jersey. 1998. Dean G. Duffy, Advanced engineering mathematics. Boca Raton, Fla. : CRC Press, 1998. Erwin Kreyszig, Advanced engineering mathematics. (8th edition). New York : John Wiley, 1999. Alan Jeffrey. Advanced engineering mathematics. San Diego : Harcourt Academic Press, 2002. Ward Cheney, David Kincaid, Numerical Mathematics and Computing.(3rd edition). Pacific Grove, Calif.: Brooks/Cole Pub. Co., 1994. Saturnino L. Salas, Calculus : one and several variables. (9th edition). New York : J. Wiley & Sons, 2003. Vithala A. Patel, Numerical Analysis. Ft. Worth : Saunders College Pub., 1994. Online Resources: Official course website at the Blackboard System of CityU.

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