STATISTIC & INFORMATION THEORY (CSNB134) COURSE OUTLINES.

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Presentation transcript:

STATISTIC & INFORMATION THEORY (CSNB134) COURSE OUTLINES

LECTURER’S DETAILS Dr. Sharifah Mumtazah Syed Ahmad Students are encouraged & welcomed to consult the lecturer on the subject matter (call first!)

COURSE BREAK DOWN MARKS CategoryPercentage (%) Assignments / Quizzes25 Mid Term Test10 Lab Excercises15 Final Examination50 Total100

Attendance Policy Please observe the 80% attendance policy. Student who failed to meet 80% attendance policy without valid reason are automatically barred from sitting in the final exam No make up mid term tests, assignments and quizzes Quizzes can either be scheduled or POP quiz (up to lecturer’s discretion)  it is the student obligation to attend the classes

COURSE POLICY Assignments and course materials will be posted from time to time in the course website Only hard copied assignments will be accepted. Late submissions of assignments will not be marked (unless of valid reasons, e.g. with provision of Medical Certificates etc.) Mid-term test will only be carried out once.

IDEAL STUDENTS’ PROFILE Independent & Resourceful Matured & Accountable Good logical thinking (mathematics skills)

COURSE OUTLINES Information Theory involves mathematical and statistical laws governing systems designed to transmit, store or process information. This course be divided into two main parts:- (1) understanding fundamental statistics (2) understanding basic information theory applied in

EXAMPLES OF IMFORMATION THEORY APPLICATIONS Source Coding Encryption Transmission Error Rate & Distortion Decryption Error Detection & Correction Channel Coding

STATISTIC & INFORMATION THEORY (CSNB134) COURSE OUTLINES --END--