GE5161: Problem Solving and Python Programming Laboratory Syllabus for Pharma Tech 1st Sem 2019 Regulation Anna University

Problem Solving and Python Programming Laboratory detailed syllabus for Pharmaceutical Technology (Pharma Tech) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the Pharma Tech students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Pharmaceutical Technology 1st Sem scheme and its subjects, do visit Pharma Tech 1st Sem 2019 regulation scheme. The detailed syllabus of problem solving and python programming laboratory is as follows.

Course Objective:

• To understand the problem solving approaches.
• To learn the basic programming constructs in Python.
• To articulate where computing strategies support in providing Python-based solutions to real world problems.
• To use Python data structures – lists, tuples, dictionaries.
• To do input/output with files in Python.

List of Experiments:

1. Identification and solving of simple real life or scientific or technical problems, and developing flow charts for the same.
2. Python programming using simple statements and expressions.
3. Scientific problems using Conditionals and Iterative loops.
4. Implementing real-time/technical applications using Lists, Tuples.
5. Implementing real-time/technical applications using Sets, Dictionaries.
6. Implementing programs using Functions.
7. Implementing programs using Strings.
8. Implementing programs using written modules and Python Standard Libraries.
9. Implementing real-time/technical applications using File handling.
10. Implementing real-time/technical applications using Exception handling.
11. Exploring Pygame tool.
12. Developing a game activity using Pygame like bouncing ball, car race etc.

Course Outcome:

On completion of the course, students will be able to:

1. Develop algorithmic solutions to simple computational problems
2. Develop and execute simple Python programs.
3. Structure simple Python programs for solving problems.
4. Decompose a Python program into functions.
5. Represent compound data using Python data structures.
6. Apply Python features in developing software applications.

For detailed syllabus of all other subjects of Pharmaceutical Technology, 2019 regulation curriculum do visit Pharma Tech 1st Sem subject syllabuses for 2019 regulation.

For all Pharmaceutical Technology results, visit Anna University Pharma Tech all semester results direct link.