GREEK-I

Course Description

This course is an introduction to Greek with basic grammar and sentence structure. The aim of this course is to motivate students in the Greek language to achieve language skills which are listening, reading, speaking and writing. The students are introduced to the sounds and letters of the Greek alphabet, and other phonemic components such as important symbols, stress, pronunciation, vowels and consonants. The course also focuses on providing vocabulary about countries, numbers, nationalities, jobs, languages, family members, and marital status. The course also provides the opportunity for students to achieve basic reading, listening and writing skills on topics like greeting, and finding an acquaintance. Furthermore students are introduced to the verb ‘to be’ in the Present Simple tense, wh- question words, and personal pronouns.

GREEK-I

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

1. 01 be able to process necessary vocabulay for daily use and explain their daily routines
2. 02 be able to recognize the main point in short clear messages and transmit the messages in their own words.
3. 03 be able to construct sentences about their families and friends based on eveyday materials.
4. 04 be able to describe themselves and express their ideas 5-be able to write a paragraph about themselves and family members.
5. 05 SOLO AVERAGE= [(3+2)/2+(2+2)/2+4+3+2]/5=3,3

Course Syllabus

Reference Books & Course Materials

1. 01 Communicate in Greek- Kleanthes Arvanitakis and Frosso Arvanitakis
2. 02 Ellinika A (Greek A) - Yorgos Simopulos, İrini Pathiaki, Rita Kanellopulu, Aglaya Pavlopulo

Learning Outcomes

1. L01 1- be able to learn necessary vocabulary for daily use.
2. L02 2- be able to catch the main point in shourt clear messages.
3. L03 3- be able to read short, simple text and find specific, predictable information from everyday materials.
4. L04 4- be able to introduce themselves and exchange information.

Program Outcomes

1. P01 Apply data science principles and techniques to challenges in real life situations, and effectively communicate their solutions.
2. P02 Identify and implement data analysis methodologies based on theoretical ideas, ethical code, and in-depth knowledge of the underlying data.
3. P03 Analyze the guiding concepts and assessment procedures for information analysis in real-life applications.
4. P04 Design and apply relevant data analysis models to find obscure solutions to business-related problems.
5. P05 Utilize modern computing techniques to handle real-world problems characterized by massive amounts of data, such as parallel and distributed computing and machine learning.
6. P06 Configure and administer the software tools required to efficiently produce usable information from any size of structured and unstructured datasets.
7. P07 Administer or manage data science tools and techniques to organize and complete projects aimed at gaining useful insight from complex data.
8. P08 Think critically and imaginatively, conceiving real-world issues from several angles, and work well in a variety of teams to solve issues cooperatively.
9. P09 Be able to effectively integrate data‐based solutions into the user environment and help non-technical professionals in exploring, visualizing, and using these solutions
10. P10 Understand their obligations under professional and ethical standards in relation to matters like data ownership and citation, data security and sensitivity and the privacy implications of data analysis.

Po-Lo Matrix