Course Learning Outcomes (CLOs) are those describing the knowledge, skills and competencies that students are expected to achieve upon successful completion of the course. In this context, Course Learning Outcomes defined for this course unit are as follows:
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| Knowledge
(Described as Theoritical and/or Factual Knowledge.)
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| Skills
(Describe as Cognitive and/or Practical Skills.)
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1) Being able to use numbers to say prices and times, order in a coffee shop, say the order is wrong .
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| Competences
(Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)
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1) Being able to understand the menu, say what you like/ don't like, answer a waiter or order food.
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2) Being able to say there is a problem, check in a hotel, talk about their stay,ask what people did.
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3) Being able to ask how things are, respond to a good and bad news, use adjectives to describe things.
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4) Being able to buy train tickets, ask about and say their plans, say where and when to meet.
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5) The ability to introduce themselves and other people, understand simple questions with “be”, answer questions with one or two words.
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6) Being able to ask and say where you live, ask about someone's job, talk about people you know.
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| Week |
Subject |
Materials Sharing * |
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Related Preparation |
Further Study |
| 1) |
"Am is are
questions with be
possessive pronouns
negative sentences
- question words
-Times and prices
- vocabulary related to coffee shop
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Outcomes Beginner
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website- test-english.com
Focus on Grammar Elementary
Essential Grammar In Use Raymond Murphy.
Essential Vocabulary in Use |
| 2) |
possessive pronouns
negative sentences
-question words
-Times and prices
- vocabulary related to coffee shop
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Outcomes Beginner
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website- testenglish.com |
| 3) |
plural/ no plural
like/ don't like
food and drinks
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Outcomes Beginner
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website- testenglish.com |
| 4) |
present simple
present simple questions: do you
present simple: don't
plural/ no plural
like/ don't like
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Outcomes beginner
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website- testenglish.com |
| 5) |
Using negatives with be
using does not as present simple
be able to identify adjectives
using the verbs go take and want
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Outcomes Beginner
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Essential Grammar in Use |
| 6) |
Using does in present simple questions
a an and any
new vocabulary about things
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Outcomes Beginner
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website- testenglish.com |
| 7) |
there is there are
use adverbs of frequency
names of places
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Outcomes Beginner
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website- testenglish.com |
| 8) |
Midterms |
Midterms
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Midterms |
| 9) |
can as ability
days and times of day
classroom verbs
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Outcomes Beginner
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website- testenglish.com |
| 10) |
be going to
words related to getting there and buying tickets
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Outcomes Beginner
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website- testenglish.com |
| 11) |
Past simple, irregular verbs
regular past simple endings
Vocabulary related to problems and hotels and check in
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Outcomes Beginner
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website- testenglish.com |
| 12) |
be going to (negatives/questions)
words related to getting there and buying tickets
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Outcomes Beginner
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website- testenglish.com |
| 13) |
Simple past tense
past simple negatives
past simple questions
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Outcomes Beginner
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website- testenglish.com |
| 14) |
Revision
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Outcomes Beginner
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website- testenglish.com |
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Programme Learning Outcomes |
Contribution Level (from 1 to 5) |
| 1) |
It explains fundamental concepts in mathematics, statistics, and probability; and applies this knowledge to data analysis, modeling, and interpretation of results. |
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| 2) |
It explains the principles of algorithm design and develops software for solving problems using at least one programming language. |
1 |
| 3) |
It compares machine learning and data mining algorithms, selects the appropriate method, and applies it to real data. |
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| 4) |
Big data platforms utilize distributed systems and cloud computing architectures to perform data processing operations. |
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| 5) |
They apply natural language processing techniques to text data and develop basic NLP-based applications. |
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| 6) |
It analyzes different data sources, transforms them into meaningful outputs, and presents them using appropriate visualization tools. |
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| 7) |
It creates data-driven decision models using decision support systems. |
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| 8) |
It develops optimization models and produces solutions for industrial and sectoral problems. |
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| 9) |
In professional practice, we operate within the framework of ethical principles, data security, and social responsibility. |
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| 10) |
They keep up with current technological developments in their field, actively participate in teamwork, and develop a lifelong learning awareness. |
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| WORKLOAD OF TEACHING & LEARNING ACTIVITIES |
| Teaching & Learning Activities |
# of Activities per semester |
Duration (hour) |
Total Workload |
| Course |
14 |
3 |
42 |
| Laboratory |
0 |
0 |
0 |
| Application |
0 |
0 |
0 |
| Special Course Internship (Work Placement) |
0 |
0 |
0 |
| Field Work |
0 |
0 |
0 |
| Study Hours Out of Class |
1 |
21 |
21 |
| Presentations / Seminar |
0 |
0 |
0 |
| Project |
0 |
0 |
0 |
| Homework Assignments |
1 |
20 |
20 |
| Total Workload of Teaching & Learning Activities |
- |
- |
83 |
| WORKLOAD OF ASSESMENT & EVALUATION ACTIVITIES |
| Assesment & Evaluation Activities |
# of Activities per semester |
Duration (hour) |
Total Workload |
| Quizzes |
1 |
18 |
18 |
| Midterms |
1 |
24 |
24 |
| Semester Final Exam |
1 |
28 |
28 |
| Total Workload of Assesment & Evaluation Activities |
- |
- |
70 |
| TOTAL WORKLOAD (Teaching & Learning + Assesment & Evaluation Activities) |
153 |
| ECTS CREDITS OF THE COURSE (Total Workload/25.5 h) |
4 |