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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS MZK 4033 ELECTRONIC MUSIC 3 ELECTIVE 1 0 0 4

Offered By

Composition

Level of Course Unit

First Cycle(Bachelor's Degree)/Second Cycle(Master's Degree)

Course Coordinator

PROFESSOR DOCTOR UZAY BORA

Offered to

Composition Composition

Course Objective

This course aims to supply the students with the knowledge and skills at various levels for creating electroacoustic music compositions.

Learning Outcomes of the Course Unit

1   Understand the ways of generating random data on the computer. 2   Can design aleatoric music in the Max environment. 3   Can utilize given methods and technics to produce original works.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Ways of generating random data on the computer. 2 Producing aleatoric music using the Max environment. 3 (cont.) 4 Introduction to interactive algorithmic composition 5 (cont.) 6 Interactive algorithmic composition project in Max environment. 7 (cont.) 8 (cont.) 9 (cont.) 10 (cont.) 11 (cont.) 12 (cont.) 13 Overview 14 Midterm exam

Recomended or Required Reading

Exercises and presentations prepared by the tutor

Planned Learning Activities and Teaching Methods

The topics' theoretical information are given on the board, and the applications are carried out in the computer medium, often using digital piano and microphone as well.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 ASG ASSIGNMENT 3 FCGR FINAL COURSE GRADE MTE * 0.70 +ASG * 0.30 4 RST RESIT 5 FCGR FINAL COURSE GRADE RST *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

One (written) midterm exam and an average of 2 homework assignments will be given. The questions will consist of the topics covered during the lessons.

Assessment Criteria

Written exam and assignments aim to measure whether the students have fulfilled the goals defined in the learning outcomes.

Language of Instruction

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

0232 412 9557

Office Hours

Tuesdays 14:00-15:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 1 13 Tutorials 13 1 13 Preparations before/after weekly lectures 13 3 39 Preparation for midterm exam 1 7 7 Preparing assignments 2 12 24 Midterm 1 1 1 TOTAL WORKLOAD (hours) 97

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 PO.14 PO.15 LO.1 1 1 1 1 LO.2 3 1 3 3 3 1 3 LO.3 3 2 3 1 3 1 1 3