GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ENGLISH II/ING-102
Course Title: ENGLISH II
Credits 1 ECTS 3
Semester 2 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  ENGLISH
 -- NAME OF LECTURER(S)
  -
 -- WEB SITE(S) OF LECTURER(S)
  
 -- EMAIL(S) OF LECTURER(S)
  
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Students can talk about school subjects talk about the past, write about their schooldays talk about good news, name parts of the body.
Students can ask questions about past events, talk about an accident, ask for things at a chemist’s
Students can talk about travel, talk about plans for the future and describe them, talk about sad events.
Students can talk about food and drink, talk about quantities, describe what they eat and drink
Students can order a meal in a restaurant, talk about clothes, describe things describe people’s clothes.
Students can ask for things at a post office, talk about things they have to and don’t have to do, respond to requests
Students can understand and use telephone expressions, talk about weather, compare two things and different places.
Students can talk about a trip and geographical features, compare more than two things, describe a country.
Students can give measurements, talk about everyday jobs, say what people have done understand and write short messages.
Students can say more about experiences, ask questions, check in at an airport, make predictions
 -- MODE OF DELIVERY
   The mode of delivery of this course is Face to face
 -- 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  REVISION
2. Week   Lesson 41- School Subject - Lesson 42- Past Simple: Statements - Lesson 43- Read and Write
3. Week   Lesson 44- That’s Life! Episode 6 - Lesson 45- Parts of the Body - Lesson 46- Past Simple: Questions and Short Answers -
4. Week   Lesson 47- Listen and Speak – Lesson 48- Asking for things at the chemist’s - Lesson 49- Travel -
5. Week   Lesson 50- Going to. Lesson 51- Read and Write - Lesson 52- That’s Life! Episode 7 -
6. Week   Lesson 53- Food and Drink. Lesson 54- Countable and Uncountable Nouns. Lesson 55- Listen and Speak -
7. Week   Lesson 56- Ordering a Meal. Lesson 57- Clothes. . Lesson 58- Adjectives. .
8. Week  Midterm
9. Week   Lesson 59- Read and Write - Lesson 60- That’s Life! Episode 8 - REVISION
10. Week   Lesson 61- At the Post Office. Lesson 62- Have to. Lesson 63- Responding to Requests. Lesson 67- Compass Directions. compare experiences.
11. Week   Lesson 64- On the Telephone. Lesson 65- The Weather. Lesson 66- Comparatives.
12. Week   Lesson 68- Talking about a Trip. Lesson 69- Geographical Features. Lesson 70- Superlatives. . Lesson 71- Describing a Country.
13. Week   Lesson 72- Giving Measurements. Lesson 73- Everyday Jobs. Lesson 74- Present Perfect. . MIDTERM MAKE-UP
14. Week   Lesson 75- Understanding Short Messages. Lesson 76- Asking for an explanation. ask for an explanation. Lesson 77- Talking about Experiences. talk
15. Week   Lesson 78- Present Perfect and Past Simple. Lesson 79- Asking Someone about their Experiences. . Lesson 80- Checking in. . Lesson -- That’s Li
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
3
42
 Practising Hours of Course Per Week
0
 Reading
0
 Searching in Internet and Library
0
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
8
2
16
 Final and Studying for Final
8
3
24
 Other
0
 TOTAL WORKLOAD: 
82
 TOTAL WORKLOAD / 25: 
3.28
 ECTS: 
3
 -- 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.
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.