GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
TURKISH LANGUAGE II/TÜR-102
Course Title: TURKISH LANGUAGE II
Credits 1 ECTS 2
Semester 2 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  -
 -- WEB SITE(S) OF LECTURER(S)
  
 -- EMAIL(S) OF LECTURER(S)
  
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Understands the elements of the sentence.
Recognizes the types of written composition.
Examines the works of literature and thought, practices on the rhetoric that makes these works.
Knows and applies the rules to be followed in scientific writing.
Detects and corrects mistakes in language.
Thoughts and feelings verbally and in writing conveys the most beautiful.
Thinking types (scientific, skeptical, critical interpretive, creative and constructive thinking) knows and applies.
 -- MODE OF DELIVERY
   The mode of delivery of this course is distance learning
 -- PREREQUISITES AND CO-REQUISITES
   There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
   There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week   Syntax: Word groups, sentence and the elements composing the sentence.
2. Week   Types of sentence.
3. Week   Sentence analysis, examples of sentence review.
4. Week   Composition: Subject, idea and main idea.
5. Week   Theme, imagination, paragraph.
6. Week   Forms of expression.
7. Week   Official (Formal) Entries: Official report, official decision, reports, business letters, CV.
8. Week  Midterm
9. Week   Creative, fictional articles.
10. Week   Transfer of ideas and information articles.
11. Week   Language Mistakes: Spelling and punctuation mistakes.
12. Week   Language Mistakes: Speech disorders, voice-based mistakes.
13. Week   Verbal expression (Prepared group conversations): Open session, the symposium (feast of information), panels, forums, colloquia.
14. Week   Verbal expression (Individually prepared speeches): Conferences and oration.
15. Week   Scientific research and presentation techniques.
16. Week  Final
 -- RECOMMENDED OR REQUIRED READING
  Lecture Notes
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
   Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  -
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
40
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
2
28
 Practising Hours of Course Per Week
0
 Reading
2
2
4
 Searching in Internet and Library
2
2
4
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
5
4
20
 Mid-Term and Studying for Mid-Term
1
3
3
 Final and Studying for Final
1
3
3
 Other
0
 TOTAL WORKLOAD: 
62
 TOTAL WORKLOAD / 25: 
2.48
 ECTS: 
2
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Having the professional expertise and skills on theoretical and practical aspects of econometrics, statistics and operational research.
2Having qualities for professional competence in order to work in career fields such as inspector or assistant specialist or working department of research-development in public institutions and organizations, the private sector and civil society organizations.
3Having knowledge about other disciplines such as economics, managements, public finance and law related to econometrics.
4Having appropriate behavior of econometrics in the field of social, scientific, cultural and ethical values, applicability of gained knowledge and skills in accordance with the principle of responsibility to social and working life.X
5Having skills about foreign language and information system related to the fields in academic and working life.X
6Having skills about selecting, using and evaluating of appropriate statistical, econometric and mathematical programming methods, based on theoretical and practical knowledge acquired in the field related to the current problems faced by.
7Having skills to work with the team for reach fruitful results in interdisciplinary and interdisciplinary studies.
8Having knowledge of research methods in the field of institutions and organizations planning projects, managing, and to conduct independent researches.
9Having qualities for analytical thinking, prospecting and bring scientific solutions to problems as a researcher.
10Having skills to comprehension, application and evaluation about terms and basic theory of econometrics.
11Having skills to comprehension, application and evaluation about terms and basic theory of statistics.
12Having skills to comprehension, application and evaluation about terms and basic theory of statistics.
13Using some of the basic econometric and statistical software programs.