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Semester: |
1 |
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Course Code: |
CO1010 |
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Course Name: |
Programming for Engineers I |
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Credit Value: |
3 (Notional |
hours 150) |
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Prerequisites: |
None |
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Core/Optional |
Core |
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Hourly Breakdown |
Lecture hrs. |
Tutorial hrs. |
Practical hrs |
Design hrs |
Independent Learning & Assessment hrs. |
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15 |
10 |
30 |
10 |
85 |
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Course Aim: To develop logical thinking through algorithms and structured programming constructs so that the students will be able to build software applications to analyze and solve engineering problems.
Intended Learning Outcomes: On successful completion of the course, the students should be able to; ➢ construct algorithms to solve engineering problems ➢ use structured programming constructs and build software applications ➢ apply good programming practices |
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Course Content:(Only main topics & subtopics) ➢ Basics : Variables. Operators and precedence. Data types. Number systems and numerical precision. ➢ Control Structures: Conditions and loops. ➢ Modularization : Standard libraries and functions. User-defined functions. ➢ Input/Output: Standard input/output. File input and file output ➢ Data Structures: List and list comprehension. String processing and formatting. Stack and Queue. Dictionaries. ➢ Object-Oriented Concepts: Classes and Objects. Accessing variables and functions within objects. ➢ Quality Assurance: Good programming practices. Testing. Debugging. Exception and error handling. ➢ Algorithms : Developing algorithms and writing programs for the solutions of well-defined problems related to Engineering. ➢ Numerical Computations: Introduce concepts of numerical packages/libraries such as numpy and the use of mathematical software such as Matlab to solve problems such as those listed under item 8 |
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Teaching /Learning Methods: Flipped classrooms, small group discussion classes, project-based learning. |
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Assessment Strategy: |
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Continuous Assessment 60% |
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Final |
Assessment |
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Details: Online class participation 5% Practicals 35% Assignments and Projects 20% |
Theory (%)
40% |
Practical (%)
- |
Other (%)
- |
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Recommended Reading: ➢ John DeNero (2017), Composing Programs, a free online introduction to programming and computer science, 10 Oct 2019, http://composingprograms.com ➢ Ron Reiter (2018), Interactive Python tutorial, 10 Oct 2019,https://www.learnpython.org/ |
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