Syllabus for Computer Programming II
A revised version of the syllabus is available.
- 5 credits
- Course code: 1TD722
- Education cycle: First cycle
Main field(s) of study and in-depth level:
Computer Science G1F,
Explanation of codes
The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:
- G1N: has only upper-secondary level entry requirements
- G1F: has less than 60 credits in first-cycle course/s as entry requirements
- G1E: contains specially designed degree project for Higher Education Diploma
- G2F: has at least 60 credits in first-cycle course/s as entry requirements
- G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
- GXX: in-depth level of the course cannot be classified
- A1N: has only first-cycle course/s as entry requirements
- A1F: has second-cycle course/s as entry requirements
- A1E: contains degree project for Master of Arts/Master of Science (60 credits)
- A2E: contains degree project for Master of Arts/Master of Science (120 credits)
- AXX: in-depth level of the course cannot be classified
- Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Established: 2007-03-15
- Established by:
- Revised: 2018-08-30
- Revised by: The Faculty Board of Science and Technology
- Applies from: Autumn 2019
Computer Programming I or equivalent.
- Responsible department: Department of Information Technology
On completion of the course, the student should be able to:
- use the programming language Java, both writing own code and explaining what task a given code performs;
- explain the concepts inheritance and polymorphism in an object-oriented language, and use these concepts in the programming process;
- implement recursive solutions to different problems;
- describe the general principle for analysing the efficiency of an algorithm and perform such an analysis on algorithms;
- describe, implement and use the fundamental data structures array, linked list, hash table, binary tree and abstract data types as stacks, queues and maps;
- describe how error handling with exceptions is working and to be able to use it in programs.
Programming in Java: inheritance, polymorphism, exceptions. Object oriented design. Data structures: stacks, queues, lists, trees, hash tables, maps and collections.
Basic algorithms for storing, searching and sorting. Debugging and testing.
Lectures, problem classes/computer lab and compulsory assignments.
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 indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.
- Latest syllabus (applies from Autumn 2022)
- Previous syllabus (applies from Autumn 2020)
- Previous syllabus (applies from Autumn 2019)
- Previous syllabus (applies from Autumn 2017)
- Previous syllabus (applies from Spring 2013)
- Previous syllabus (applies from Autumn 2010)
- Previous syllabus (applies from Autumn 2009)
- Previous syllabus (applies from Autumn 2007)
Applies from: Autumn 2019
Some titles may be available electronically through the University library.
Java software solutions : foundations of program design
6. ed.: Boston ;a London: Pearson/Addison-Wesley,  cop. 2009