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Piilota rajaukset
TT00CN79-3001
Students are responsible for:
1. Distributing and collecting customer and expert feedback forms for their project evaluations.
2. Filling and returning peer- and self-evaluation forms at the end of the project.
Failure to produce these documents will impact the course grade.
The lecturers will provide the appropriate forms at the time they are required.
TT00CN73-3003
Course material and assignments in Its Learning and AWS academy.
USE OF ARTIFICIAL INTELLIGENCE REPORTED
Allowed, can be used, must be reported. Artificial intelligence can be used in the creation of outputs, but the student must clearly report its use. Failure to disclose the use of AI will be interpreted as fraud. The use of AI may affect the assessment.
TT00CN75-3002
Qualifications:
Before taking a "Deep Learning" course, students typically need a foundational understanding of several key areas. Here are the mandatory and recommended prerequisite courses and topics.
1. Mandatory Prerequisites:
1.1. Programming:
1.1.1. Introduction to Programming: Knowledge of programming fundamentals,
including concepts like variables, loops, conditionals, and functions.
1.1.2. Python Programming: Familiarity with Python, including basic syntax, data
types, control structures, and function and modules, libraries like Pandas, Numpy, Scikit-learn, and Matplotlib,
1.2 Data Analytics and Machine Learning
2. Recommended Topics:
2.1. Algorithms and Data Structures: Basic understanding of algorithms and data
structures such as arrays, lists, trees, and graphs, which are crucial for data
processing
2.3. Version Control Systems: Basic understanding of tools like Git for version control.
2.4. Basic Algebra and Calculus: Fundamental math skills to handle data transformations
and calculations.
2.5. Statistics: Understanding of basic statistical concepts like mean, median, standard
deviation, and probability distributions.
Note!
Use of Artificial Intelligence (AI) in Exams and Exercises: Restricted
-The use of Artificial Intelligence (AI), particularly generative AI tools, is prohibited in all exams and exercises unless explicitly authorized for a particular task.
Student's Own Work:
-All submitted output for exams and exercises must be created without prohibited AI assistance.
-Students should use only their own knowledge, understanding, and skills.
Prohibition of Unauthorized AI:
The use of AI (including but not limited to text generators, image creators, or code assistants) is forbidden for completing coursework unless the instructor has expressly granted permission for its use on a specific assignment, outlining acceptable parameters.
Justification for Restriction:
-This policy is in place to ensure that students develop and demonstrate their own skills and understanding, and to maintain academic integrity.
Interpretation as Fraud:
-Any use of AI that has not been explicitly allowed will be interpreted as fraud and addressed according to the institution's academic misconduct policies.