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Education

Postgraduate course

Algorithms Engineering

  • ECTS credits10
  • Teaching semesterSpring
  • Course codeINF237
  • Number of semesters1
  • Language

    English

  • Resources

ECTS Credits

10

Level of Study

Bachelor/Master

Full-time/Part-time

Full-time

Teaching semester

Spring

Objectives and Content

The course focuses on the ability to translate theoretical knowledge about algorithms, data structures, and complexity to efficiently be able to perform the complete process of analyzing a problem, estimate the running time of suggested solutions, and to implement a running program.

Learning Outcomes

On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge.

The student knows

  • Algorithm design techniques, such as greedy algorithms, Dynamic Programming, Exhaustive Search (brute-force)

Skills

The student is able to

  • analyze the performance of a proposed algorithm in big-Oh notation, and use this to estimate the running time of a program on a given computer on a given data set.
  • pick the right algorithm design technique and data structure for a given problem, and adapt these to new problems.
  • implement algorithms based on the covered design techniques,
  • recognize when one can use data structures for which standard library implementations exist, and make use of these data structures.
  • implement efficient data structures.

General competence

  • The student is able to go from an algorithmic problem to an implementation of an efficient and correct algorithm for the problem.

Required Previous Knowledge

None

Recommended Previous Knowledge

The course builds on INF102. Having taken INF234 is helpful.

Access to the Course

Access to the course requires admission to a programme of study at The Faculty of Mathematics and Natural Sciences

Teaching and learning methods

2 hours lectures per week throughout the entire semester. 2 hours group sessions per week.

Compulsory Assignments and Attendance

Compulsory exercises, and participation in compulsory programming competitions.

Forms of Assessment

Compulsory exercises, and participation in compulsory programming competitions.

Examination Support Material

None

Grading Scale

Pass/Fail

Assessment Semester

Spring. With the consent of the lecturer, students that took the class in the spring semester may sign up for and complete the course during the following autumn semester. The compulsory activities done in the spring semester are valid for two semesters, the semester in which the activity is passed, and in the following semester. Compulsory activities done in the autumn semester are only valid in the semester in which the activity is passed.

Reading List

The reading list will be available within June 1st for the autumn semester and December 1st for the spring semester

Course Evaluation

The course will be evaluated by the students in accordance with the quality assurance system at UiB and the department

Programme Committee

The Programme Committee is responsible for the content, structure and quality of the study programme and courses.

Course Coordinator

Course coordinator and administrative contact person can be found on Mitt UiB, or contact mailto:studieveileder@ii.uib.no Student adviser

Course Administrator

The Faculty of Mathematics and Natural Sciences represented by the Department of Informatics is the course administrator for the course and study programme.

Contact

Contact Information

Student adviser:

mailto:studieveileder@ii.uib.no Student adviser

T: 55 58 42 00