Ministry of Higher Education and
Scientific Research - Iraq
University of Baghdad
College of Engineering
Department of Computer Engineering
MODULE DESCRIPTOR FORM
نموذج وصف المادة الدراسية
Module Information
معلومات المادة الدراسية
Module Title Computer Programming Module Delivery
Module Type CORE
Module Code COE108
Class lecture + Lab
ECTS Credits 5
SWL (hr/sem) 125
Module Level 1 Semester of Delivery 2
Administering Department Computer College Engineering
Module Leader Mohammed Al-Shammaa e-mail m.alshammaa@coeng.uobaghdad.edu.iq
Module Leader’s
Module Leader’s Acad. Title Lecturer Ph.D
Qualification
Module Tutor Furat Nidhal e-mail furat@bccru.uobaghdad.edu.iq
Peer Reviewer Name e-mail
Review Committee Approval 30/5/2024 Version Number 1.0
Relation With Other Modules
العالقة مع المواد الدراسية األخرى
Prerequisite module COE103 Semester 1.1
Co-requisites module None Semester
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Module Aims, Learning Outcomes and Indicative Contents
أهداف المادة الدراسية ونتائج التعلم والمحتويات اإلرشادية
• Learning how to use functions in programming.
Module Aims • Learning how to use Modules to solve real-life and scientific problems.
أهداف المادة الدراسية • Gaining knowledge of essential OOP concepts like: class, inheritance, and
data encapsulation.
By the end of this module, students will be able to:
1. Understand and Use Standard Data Structures
o Learn to use Tuples, Sets, and Dictionaries
2. Process Text Files
o Read from and write to a text file
3. Understand and Use Functions
o Describe why functions are used.
Module Learning o Use functions to solve problems.
o Learn passing argument to functions, returning values from
Outcomes
functions, and using recursive functions.
4. Understand and Use Modules
مخرجات التعلم للمادة الدراسية
o Understand what a module is.
o Learn how to use modules or parts of modules.
5. Use Modules in Various Applications
o Learn using widely used modules like: os, pandas, selenium,
BeautifulSoup, JSON, and Matplotlib in various applications.
6. Get Essential Knowledge About OOP
o Get knowledge of essential OOP concepts like: class, inheritance,
and data encapsulation
• Standard Data Structures
• Files
Indicative Contents • Functions and Recursive Functions
المحتويات اإلرشادية • Modules
• Classes
Learning and Teaching Strategies
استراتيجيات التعلم والتعليم
1) Lectures.
2) Homework and Assignments.
Strategies 3) Tests and Exams.
4) In-Class Questions and Discussions.
5) In- and Out-Class oral conversations.
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Student Workload (SWL)
الحمل الدراسي للطالب
Structured SWL (h/sem) Structured SWL (h/w)
79 5.3
الحمل الدراسي المنتظم للطالب خالل الفصل الحمل الدراسي المنتظم للطالب أسبوعيا
Unstructured SWL (h/sem) Unstructured SWL (h/w)
46 3.1
الحمل الدراسي غير المنتظم للطالب خالل الفصل الحمل الدراسي غير المنتظم للطالب أسبوعيا
Total SWL (h/sem)
125
الحمل الدراسي الكلي للطالب خالل الفصل
Module Evaluation
تقييم المادة الدراسية
Time/
Relevant Learning
Numbe Weight (Marks) Week Due
As Outcome
r
LO #1-3,
Quizzes 3 10% (10) 4, 8, 12 LO #4-5,
Formative LO #6
assessment
Assignments 2 5% (5) 8, 14 LO #1-3, LO #4-5
Lab. 5 20% (20) 1-15 LO #1-6
Project 1 5% (5) 12 LO # 1-6
Summative Mid Exam 1 10% (10) 15 LO # 1-4
assessment
Final Exam 4 hr 50% (50) 16 All
Total assessment 100% (100 Marks)
Delivery Plan (Weekly Syllabus)
المنهاج االسبوعي النظري
Week
Material Covered
Week 1 Review to Python Programming
Week 2 Python standard data structures: Tuples, Sets, and Dictionaries
Week 3 Python text files: reading from and writing to a file
Week 4 Python function creation, return values and calls
Week 5 Function arbitrary arguments, passing lists to a function, and recursive functions
Week 6 Python module: os
Week 7 Python module: pandas
Week 8 Python module: selenium
Week 9 Python module: BeautifulSoup
Week 10 Python module: JSON
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Week 11 Python module: Matplotlib
Week 12 Applications of Python Modules: Excel manipulation
Week 13 Applications of Python Modules: using API’s
Week 14 Applications of Python Modules: web scraping
Week 15 Python classes and OOP: classes, objects, attributes, and methods.
Week 16 Final Exam
Delivery Plan (Weekly Lab. Syllabus)
المنهاج االسبوعي للمختبر
Week Material Covered
Week 1 Review to Python Programming
Week 2 Python standard data structures: Tuples, Sets, and Dictionaries
Week 3 Python text files: reading from and writing to a file
Week 4 Python function creation, return values and calls
Week 5 Function arbitrary arguments, passing lists to a function, and recursive functions
Week 6 Python module: os
Week 7 Python module: pandas
Week 8 Python module: selenium
Week 9 Python module: BeautifulSoup
Week 10 Python module: JSON
Week 11 Python module: Matplotlib
Week 12 Applications of Python Modules: Excel manipulation
Week 13 Applications of Python Modules: using API’s
Week 14 Applications of Python Modules: web scraping
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Week 15 Python classes and OOP: classes, objects, attributes, and methods.
Week 16 Final Exam
Learning and Teaching Resources
مصادر التعلم والتدريس
Available in the
Text
Library?
Required Texts
• Brian Heinold, A Practical Introduction to Python
Programming, 2012
Recommended
Texts • Ben Stephenson, The Python Workbook: A Brief No
Introduction with Exercises and Solutions, 2014
https://www.w3schools.com/python/
Websites
APPENDIX:
GRADING SCHEME
مخطط الدرجات
Group Grade التقدير Marks (%) Definition
A – Excellent امتياز 90 - 100 Outstanding Performance
B - Very Good جيد جدا 80 - 89 Above average with some errors
Success Group
C – Good جيد 70 - 79 Sound work with notable errors
(50 - 100)
D – Satisfactory متوسط 60 - 69 Fair but with major shortcomings
E – Sufficient مقبول 50 - 59 Work meets minimum criteria
Fail Group FX – Fail مقبول بقرار (45-49) More work required but credit awarded
(0 – 49) F – Fail راسب (0-44) Considerable amount of work required
Note:
NB Decimal places above or below 0.5 will be rounded to the higher or lower full mark (for example a mark of 54.5
will be rounded to 55, whereas a mark of 54.4 will be rounded to 54. The University has a policy NOT to condone
"near-pass fails" so the only adjustment to marks awarded by the original marker(s) will be the automatic rounding
outlined above.
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