Computer Programming I (MAT131) | GSÜ

Content

Objective

The aim of the course is to introduce students to the fundamental concepts of programming using the Python programming language.

Course Content

• Using the console: Searching for, creating, modifying, and deleting files; writing a first Python program and running it from the console.
• Variables and data types: Representation of numbers and characters in computer memory (binary number system, two’s complement, floating-point numbers, and ASCII code); variables and basic data types in Python.
• Operators and conditional statements: Arithmetic, comparison, and logical operators; conditional statements (if, elif, else).
• Loops: Using for and while loops.
• Arrays and lists: Creating, manipulating, and traversing arrays and lists at a basic level.

Course Learning Outcomes

By the end of the semester, the student will be able to read and understand a simple program, as well as implement and execute a program based on the description of a basic algorithm.

Teaching and Learning Methods

Lecture and pratical session

References

https://python.sdv.u-paris.fr/
https://hal.science/cel-01176119/file/Algo%20vol.1%20-%20Cours.pdf

Weekly Contents

Theory Topics
Week	Weekly Contents
1	Linux terminal and console, the shell.
2	Data types and variables: representation of integers and floating-point numbers in memory.
3	Operators and operator precedence, conditional expressions.
4	Loops and flowcharts.
5	Arrays and lists.
6	Functions.
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8
9
10
11
12
13
14

Practice Topics
Week	Weekly Contents
1	Using a Linux terminal: file management.
2	First Python programs: using the Python interpreter and writing code in a file.
3	Using conditional expressions.
4	Programming classical algorithms and using loops: the Euclidean algorithm, computing the terms of a sequence, etc.
5	Manipulating lists and arrays.
6	Programming and using functions within a program.

Assessment System

Contribution to Overall Grade
Activities	Number	Contribution
Contribution of in-term studies to overall grade	1	40
Contribution of final exam to overall grade	1	60
Total	2	100

In-Term Studies
Activities	Number	Contribution
Assignments	0	0
Presentation	0	0
Midterm Examinations (including preparation)	1	40
Project	0	0
Laboratory	0	0
Other Applications	0	0
Quiz	0	0
Term Paper/ Project	0	0
Portfolio Study	0	0
Reports	0	0
Learning Diary	0	0
Thesis/ Project	0	0
Seminar	0	0
Other	0	0
Total	1	40

Relation of Proficiency

No	Program Learning Outcomes	Contribution
No	Program Learning Outcomes	1	2	3	4	5
1	understands principles of deductive reasoning; has experience to verify well-foundedness and exactness of mathematical statements in systematic ways;					X
2	can properly state and use concepts and results of major mathematical interest;				X
3	masters current computational techniques and algorithms; has a good ability in their use; can identify relevant tools, among those one has learned, suitable to solve a problem and is able to judge whether or not one is in possession of these tools;		X
4	is able to express one’s mathematical ideas in an organised way both in written and oral forms;			X
5	understands relations connecting substantial concepts and results; can switch from one viewpoint to another on mathematical objects (pictures, formulae, precise statements, heuristic trials, list of examples,...);
6	has followed individually a guided learning strategy; has pursued steps toward the resolution of unfamiliar problems;				X
7	has a theoretical and practical knowledge in computer science well adapted for learning a programming language;			X
8	has investigated the relevance of modeling and using mathematical tools in natural sciences and in the professional life; is conscious about historical development of mathematical notions;		X
9	has followed introduction to some mathematical or non-mathematical disciplines after one’s proper choice; had experience to learn selected subjects according to one’s proper arrangement;			X
10	masters French language as well as other foreign languages, to a level sufficient to study or work abroad.

ECTS

Activities	Number	Period	Total Workload
Class Hours	14	3	42
Working Hours out of Class	14	2	28
Total Workload			70
Total Workload / 25			2.80
Credits ECTS			3