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PYTHON PROGRAMMING

Course
ITEC224 - PYTHON PROGRAMMING
Department
Information Technologies - English - Undergraduate
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
6
T+P+L
3 + 0 + 0
Course Coordinator(s)
-
Prerequisite
-
Keywords

Course Description

This course is designed to provide students with a thorough understanding of Python, a leading programming language in the tech industry. The course aims to equip students with advanced programming skills through a structured yet flexible curriculum. Students will cover core topics including python for data analysis, AI, scripting, automation, software development while engaging in hands-on projects that simulate real-world applications. The course emphasizes critical thinking, problem-solving, and coding best practices. As students progress, they will develop the ability to write efficient and effective Python code. By completion of the course, students will have gained practical experience and confidence in their programming abilities, preparing them for advanced studies or professional opportunities in the industry. Completion of the course requires a final project, which students will present in a comprehensive oral presentation and submit as a formal report.

PYTHON PROGRAMMING

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Week Topic
Week 1 Introduction to Python Programming
Week 2 Data Analysis with Pandas and Numpy
Week 3 Data Visualization with Matplotlib & Seaborn
Week 4 Data Analysis with Scikit-learn (Intro to Machine Learning)
Week 5 Web Development with Flask: Introduction
Week 6 Web Development with Flask: Forms, Templates
Week 7 Web Development with Flask: Application Structure
Week 8 Automation and Scripting : File Operation, Automating Tasks, Web Scraping
Week 9 Automation and Scripting : Web Scraping, Scheduling jobs
Week 10 Midterm Exams
Week 11 Midterm Exams
Week 12 Automation and scripting: Email Automation
Week 13 Project Presentation
Week 14 Project Presentation
Week 15 Revision

Reference Books & Course Materials

  1. 01 Python for data analysis: Data wrangling with pandas, numpy, and jupyter. McKinney, W. (2022), O'Reilly Media, Inc.
  2. 02 Automate the boring stuff with Python, Sweigart, A. (2025).
  3. 03 Flask Web Development: Developing Web Applications with Python. 2018. Grinberg, M URL http://flaskbook. com.

Learning Outcomes

  1. L01 Demonstrate and apply coding best practices to produce clean, efficient, and well-documented Python code. SOLO 4
  2. L02 Apply and implement Python-based solutions to real-world problems in automation, scripting, and software development. SOLO 4
  3. L03 Implement and analyze data using Python-based techniques with core libraries such as NumPy, pandas, and Matplotlib. SOLO 4
  4. L04 Examine and describe foundational concepts in artificial intelligence using Python libraries such as scikit-learn or TensorFlow. SOLO 3
  5. L05 Design and develop modular Python programs by synthesizing functions, classes, and appropriate data structures SOLO 5
  6. L06 Apply and execute Python tools to automate tasks and workflows, including file handling, scheduling, and command-line operations. SOLO 3.5
  7. L07 Analyze and review Python code using testing techniques and performance evaluation tools to identify and resolve errors. SOLO 4
  8. L08 Perform and conduct collaborative work within team-based programming projects that simulate professional development environments.. SOLO 3.5
  9. L09 Explain and summarize the results of programming projects, relating findings to project objectives, through structured oral presentations and written reports SOLO 3.5

Program Outcomes

  1. P01 Create a user interface in a contemporary object-oriented language to allow users to access business data
  2. P02 Identify and analyze user needs and take them into account in the selection, creation, integration, evaluation and administration of computing-based systems
  3. P03 Analyze common business functions and identify, design, and develop appropriate information technology solutions
  4. P04 Design and develop software solutions for contemporary business environments by employing appropriate problem-solving strategies
  5. P05 Configure and administer database server to support contemporary business environments.
  6. P06 Administer or mange a relational database for a small to medium size company
  7. P07 Be able to effectively integrate IT-based solutions into the user environment
  8. P08 Understand professional, ethical, legal, security and social issues and responsibilities
  9. P09 Be able to apply effective communication skills consistent with the professional environment
  10. P10 Be able to apply effective collaboration skills in teamwork consistent with the professional environment

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 Average
L01 2 1 2 4 1 1 2 2 1 1 1.7
L02 3 3 4 4 1 1 4 1 1 1 2.3
L03 2 2 3 2 2 2 2 1 1 1 1.8
L04 1 1 2 0 2 2 2 1 1 1 1.3
L05 4 3 4 5 1 1 3 1 1 1 2.4
L06 2 2 3 3 2 2 3 2 2 2 2.3
L07 2 1 2 3 1 1 2 2 2 1 1.7
L08 4 2 2 2 3 3 2 3 4 5 3
L09 3 2 2 1 2 2 2 3 5 4 2.6