Module designation

Coding Theory (MAL309)

Semester(s) in which the module is taught

5th

Person responsible for the module

Bustomi, M.Si.

Language

Indonesian

Relation to curriculum

Compulsory /elective/specialization

Teaching methods

Lecture, lesson, discussion, and presentation.

Workload (incl. contact hours, self-study hours)

2×170 minutes (2×50 minutes lecture and lesson, 2×60 minutes structural activities, 2×60 minutes self-study) per week for 16 weeks

Credit points

2 CP (3,2 ECTS)

Required and recommended prerequisites for joining the module

Linear Algebra

Module objectives/intended learning outcomes

General Competencies:

Able to solve problems related to coding theory.

Specific Competencies: Students are able to

1.      Prove the basic properties of coding theory.

2.      Determine the parameters and properties of linear code.

3.      Determine limits on linear code.

4.      Explain the types of special codes.

Content

Introduction to coding theory, error detection, error correction, encoding and decoding, linear codes, building matrices, parity check matrices, Hamming weights, minimum distance, and boundaries in coding theory.

Examination forms

Essay

Study and examination requirements

Students are considered to pass if they at least have got a final score 40 (D).

Final score is calculated as follows: 10% softskill+12% assignment+ 27% Quiz + 30% midterm + 21% final exam.

 

Final index is defined as follow:

A

: 86 – 100

AB

: 78 – 85.99

B

: 70 – 77.99

BC

: 62 – 69.99

C

: 54 – 61.99

D

: 40 – 53.99

E

: 0 – 39.99

Reading list

1.      San Ling, Chaoping Xing, 2004, Coding Theory: A First Course, Cambridge University Press, New York.

2.        F. J. Macwilliams, N.J.A. Sloane, 2003, The Theory of Error-Correcting Codes, Nort-Holland Mathemtical Library.