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Cyprus International University
TR

STATISTICAL MACHINE LEARNING

Course
DASC311 - STATISTICAL MACHINE LEARNING
Department
Data Science - English - Undergraduate
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
6
T+P+L
3 + 0 + 0
Course Coordinator(s)
Asst. Prof. Dr. Yasemin BAY
Prerequisite
-
Keywords

Course Description

In this course, statistical machine learning which has roots in computer science, artificial intelligence and statistics is covered and a broad understanding of algorithms that allow computers to improve their performance through the process of ‘learning’ and enable them to make decisions and predictions is provided. Fundamental methods are taught and applied to real data. The term statistical in title emphasizes the statistical techniques, which form dominant approaches to machine learning. The course integrates methodology with theoretical underpinnings, computational elements, and statistical theory issues. By completion of this course, students are expected to learn about supervised and unsupervised learning approaches to speech recognition, internet search, bioinformatics, image and audio signal analysis, data mining and exploratory data analysis.

STATISTICAL MACHINE LEARNING

Evaluation Tools (Active Term)

Item Type Weight (%)
Midterm Midterm 30
Final Final 40
Project Project 20
Assignment Assignment 10
Total 100

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

No weekly content has been defined yet.

Reference Books & Course Materials

No reference books have been listed.

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

  1. P01 Create a user interface in a contemporary object-oriented language to allow users to access business data
  2. P02 Identify and analyze user needs and take them into account in the selection, creation, integration, evaluation and administration of computing-based systems
  3. P03 Analyze common business functions and identify, design, and develop appropriate information technology solutions
  4. P04 Design and develop software solutions for contemporary business environments by employing appropriate problem-solving strategies
  5. P05 Configure and administer database server to support contemporary business environments.
  6. P06 Administer or mange a relational database for a small to medium size company
  7. P07 Be able to effectively integrate IT-based solutions into the user environment
  8. P08 Understand professional, ethical, legal, security and social issues and responsibilities
  9. P09 Be able to apply effective communication skills consistent with the professional environment
  10. P10 Be able to apply effective collaboration skills in teamwork consistent with the professional environment

Po-Lo Matrix

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