| Course Name | Academic Skills in English II |
| Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
|---|---|---|---|---|---|
| ENG 102 | Spring | 2 | 2 | 3 | 4 |
| Prerequisites | None | |||||
| Course Language | English | |||||
| Course Type | Required | |||||
| Course Level | First Cycle | |||||
| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | ||||||
| Course Coordinator | ||||||
| Course Lecturer(s) |
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| Assistant(s) | - | |||||
| Course Objectives | This course aims at preparing students to use academic skills in English. |
| Learning Outcomes | The students who succeeded in this course;
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| Course Description | ENG 102 is a compulsory course for first year students. ENG 102 focuses on the cognitive skills of listening, reading, writing and speaking. Students' academic listening skills will be improved by listening to important / relevant information from lectures or discussions and reading skills by reading recent academic texts and then using this information to create an output task. Speaking focuses on giving presentations and students get prepared to express their ideas and opinions by speaking persuasively and coherently. The writing component is a consolidation of the speaking activities. |
| Related Sustainable Development Goals | |
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| Core Courses | |
| Major Area Courses | ||
| Supportive Courses | ||
| Media and Managment Skills Courses | ||
| Transferable Skill Courses | X |
| Week | Subjects | Required Materials |
| 1 | Introduction: Course objectives and assessment / Unıt I: Introduction to research | |
| 2 | Unit I: Introduction to research | |
| 3 | Unit I: Introduction to research | - |
| 4 | Unit I: Introduction to research | Blackboard 1 |
| 5 | Unit II: Data collection methods | - |
| 6 | Unit II: Data collection methods & Planning and cue cards for Optional Online Presentations | |
| 7 | Unit II: Data collection methods & Planning and cue cards for Optional Online Presentations & Catch-up Review | Blackboard 2 |
| 8 | Unit III: Phony pharmaceuticals | |
| 9 | Unit III: Phony pharmaceuticals / Planning and cue cards for Online Presentation 1 & Mock Midterm | Blackboard 3 |
| 10 | Online Presentation 1 | |
| 11 | Unit IV: Animal Testing | |
| 12 | Unit IV: Animal Testing | Blackboard 4 |
| 13 | Unit IV: Animal Testing & Evidence of Learning & End of Unit Test | |
| 14 | Planning and cue cards and visuals for Online Presentation 2 | |
| 15 | Online Presentation 2 | |
| 16 | Final Exam |
| Course Notes/Textbooks | Anchor 2 - Reinforcing English Language Skills in an Academic Context by Anita Afacan, Nil Akpınar Wising and Stefan O'grady / Editor: Aynur Yürekli Kaynardağ |
| Suggested Readings/Materials | Supplementary material to be prepared when necessary by the course instructors |
| Semester Activities | Number | Weigthing |
| Participation | 1 | 20 |
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | 1 | 10 |
| Portfolio | ||
| Homework / Assignments | ||
| Presentation / Jury | 1 | 20 |
| Project | - | - |
| Seminar / Workshop | ||
| Oral Exam | ||
| Midterm | 1 | 20 |
| Final Exam | 1 | 30 |
| Total |
| Weighting of Semester Activities on the Final Grade | 5 | 75 |
| Weighting of End-of-Semester Activities on the Final Grade | 1 | 25 |
| Total |
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Course Hours (Including exam week: 16 x total hours) | 16 | 2 | 32 |
| Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | 2 | |
| Study Hours Out of Class | 16 | 2 | 32 |
| Field Work | |||
| Quizzes / Studio Critiques | 1 | 6 | |
| Portfolio | |||
| Homework / Assignments | |||
| Presentation / Jury | 1 | 6 | |
| Project | - | - | |
| Seminar / Workshop | |||
| Oral Exam | |||
| Midterms | 1 | 3 | |
| Final Exams | 1 | 3 | |
| Total | 114 |
| # | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
| 1 | To be able to have a grasp of basic mathematics, applied mathematics or theories and applications of statistics. | |||||
| 2 | To be able to use advanced theoretical and applied knowledge, interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the fields of mathematics or statistics. | |||||
| 3 | To be able to apply mathematics or statistics in real life phenomena with interdisciplinary approach and discover their potentials. | |||||
| 4 | To be able to evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach and develop positive attitude towards lifelong learning. | |||||
| 5 | To be able to share the ideas and solution proposals to problems on issues in the field with professionals, non-professionals. | |||||
| 6 | To be able to take responsibility both as a team member or individual in order to solve unexpected complex problems faced within the implementations in the field, planning and managing activities towards the development of subordinates in the framework of a project. | |||||
| 7 | To be able to use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge. | |||||
| 8 | To be able to act in accordance with social, scientific, cultural and ethical values on the stages of gathering, implementation and release of the results of data related to the field. | X | ||||
| 9 | To be able to possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also environmental protection, worker's health and security. | |||||
| 10 | To be able to connect concrete events and transfer solutions, collect data, analyze and interpret results using scientific methods and having a way of abstract thinking. | |||||
| 11 | To be able to collect data in the areas of Mathematics or Statistics and communicate with colleagues in a foreign language. | X | ||||
| 12 | To be able to speak a second foreign language at a medium level of fluency efficiently. | |||||
| 13 | To be able to relate the knowledge accumulated throughout the human history to their field of expertise. | |||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
