COURSE UNIT TITLE

: M.SC.SEMINAR

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
DSM 5096 M.SC.SEMINAR COMPULSORY 0 2 0 3

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR AYLIN ALIN

Offered to

Data Science

Course Objective

The aim of the subject is to enable and encourage the students to do literature search on a given or selected topic, to give them the opportunity to learn synthesizing the information gathered from the searched literature, to analyze, interpret and discuss the findings in the light of available literature.

Learning Outcomes of the Course Unit

1   Search literature on a given or selected subject.
2   Apply ethical guidelines to be followed during a scientific study
3   To transfer the results obtained in the written, oral and visually.
4   Analyze and evaluate the data with appropriate scientific methods .
5   To prepare a scientific report

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Determination of seminar topic.
2 Review of the literature.
3 Review of the literature.
4 Review of the literature.
5 Data collection and analysis
6 Data collection and analysis
7 Data collection and analysis
8 Data collection and analysis-homework
9 Analysis and interpretation of results
10 Analysis and interpretation of results
11 preparation of the report
12 preparation of the report
13 Presentation
14 Overall assessment

Recomended or Required Reading

Related books and articles

Planned Learning Activities and Teaching Methods

Assessment Methods

Successful / Unsuccessful

Further Notes About Assessment Methods

None

Assessment Criteria

Students learn about issues that need attention in order to make a project, develop skills and competencies.

Language of Instruction

Turkish

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy.

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Tutorials 14 2 28
Preparations before/after weekly lectures 14 2 28
Preparing presentations 1 15 15
Preparing report 1 10 10
TOTAL WORKLOAD (hours) 81

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7
LO.155
LO.23
LO.344
LO.45555553
LO.544

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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