Syllabus for Computer Programming II

Programmeringsteknik II

  • 5 credits
  • Course code: 1TD722
  • Education cycle: First cycle
  • Main field(s) of study and in-depth level: Computer Science G1F, Technology G1F
  • Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
  • Established: 2007-03-15
  • Established by:
  • Revised: 2022-02-17
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: Autumn 2022
  • Entry requirements: Computer Programming I
  • Responsible department: Department of Information Technology

Learning outcomes

On completion of the course, the student should be able to:

  • use the programming language Python, and tools for testing, debugging and version control, both writing codeand explaining what a given code does;
  • explain the concepts polymorphism and duck typing in Python, and use these concepts in the softwaredevelopment;
  • implement recursive solutions to problems;
  • describe the principle for analysing algorithm efficiency and perform analysis on basic algorithms;
  • describe, implement and use the fundamental data structures lists, hash tables and trees and implement abstractdata types such as stacks, queues, generators and mapping;
  • describe how debugging with error handling using exceptions is working and to be able to use it in programs;
  • explain the limitations in Python and ways to integrate Python with other languages;
  • implement programs with both sequential and parallel or event- driven flows, , incuding simple parallel processing, and discuss the differences.
     

Content

Continued programming in Python: polymorphism, duck typing, exceptions. The concepts stacks and queues, simple graphs such as lists and trees, hash tables, mapsping in general and the Pythons Ddictionary as a special case. Generators and the Python yield statement.
Fundamental algorithms for storing, searching, and sorting data. Debugging, version control and testing. Analysis of asymptotic time complexity.
Properties of the Python language and programming environment properties compared with in relation to C++ . Implemented Implementing and performing basic performance comparisons of an identical algorithm in between Python and C++ .
RepresenationRepresentation of code as objects and lambda expressions, and using this such constructs for event- driven and parallel programming in Python.

Instruction

Lectures, problem classes/computer lab and compulsory assignments.

Assessment

Written examination (2 credits) and approved assignments (3 credits).

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicatedand allow a student to be assessed by another method. An example of special reasons might be a certificate regardingspecial pedagogical support from the disability coordinator of the university.

Reading list

The reading list is missing. For further information, please contact the responsible department.

Last modified: 2022-04-26