Subject · Computer science

Texniki xarici dil (ingilis dili)Topics

İFS-40159y6 creditsAutumn semesterElective2025-2026

Topic plan

The subject's topics and the learning outcomes attached to each one.

14 topics
  1. 1. Basic math skills: definitions, examples and how to improve them. technical vocabulary. reading, writing of mathematical expressions.

    Lecture

    In the subject, basic mathematical skills, their definitions and explanations based on examples are studied. technical english vocabulary related to mathematics and the correct use of terms are explored. also, the rules of reading, writing and interpreting mathematical expressions in english are explained.

  2. 2. Matrices. definitions, examples. technical vocabulary. reading, writing of mathematical expressions.

    Lecture

    In the subject, the concept of matrix, types of matrices and their basic definitions are studied in english. technical terms related to matrices, examples and their correct use in mathematical expressions are explained. also, reading, writing and interpreting mathematical expressions related to matrices in english is investigated.

    Open resource: Matrices. definitions, examples. technical vocabulary. reading, writing of mathematical expressions. (opens in a new tab)
  3. 3. Vectors. definitions, examples. technical vocabulary. reading, writing of mathematical expressions.

    Lecture

    In the subject, the concept of vector, types of vectors and their basic definitions are studied in english. technical terms related to vectors, examples and their correct use in mathematical expressions are explained. also, reading, writing and interpreting mathematical expressions related to vectors in english is studied.

    Open resource: Vectors. definitions, examples. technical vocabulary. reading, writing of mathematical expressions. (opens in a new tab)
  4. 4. Functions. definitions, examples. technical vocabulary. reading, writing of mathematical expressions.

    Lecture

    In the subject, the concept of function, the main types of functions and their definitions are studied in english. technical terms related to functions, examples and their correct use in mathematical expressions are explained. reading, writing and interpreting mathematical expressions related to functions in english are also explored.

    Open resource: Functions. definitions, examples. technical vocabulary. reading, writing of mathematical expressions. (opens in a new tab)
  5. 5. Integral. definition of definite integral and examples. technical vocabulary. reading, writing of mathematical expressions.

    Lecture

    In the subject, the concept of integral, the definition of definite integral and the main examples are studied in english. technical terms, mathematical symbols related to definite integral and their correct usage are explained. also, reading, writing and interpreting mathematical expressions related to integrals in english is investigated.

    Open resource: Integral. definition of definite integral and examples. technical vocabulary. reading, writing of mathematical expressions. (opens in a new tab)
  6. 6. Geometry. major branches of geometry, euclidean geometry, analytic geometry, projective geometry, differential geometry. technical vocabulary. reading, writing of mathematical expressions.

    Lecture

    In the subject, the main fields of geometry and their applications in mathematics are studied in english. basic terms, definitions and examples in euclidean, analytic, projective and differential geometry are explained. also, the correct reading, writing and interpretation of geometrical concepts and mathematical expressions in english is investigated.

    Open resource: Geometry. major branches of geometry, euclidean geometry, analytic geometry, projective geometry, differential geometry. technical vocabulary. reading, writing of mathematical expressions. (opens in a new tab)
  7. 7.

    Lecture

    In the subject, the concept of calculus, its main content in the areas of differential calculus and integral calculus are studied in english. the essence of the first fundamental theorem of calculus, the relationship between the derivative and the definite integral, and the main examples are explained. also, the reading, writing and interpretation of calculus technical terms and mathematical expressions in english is examined.

    Open resource: (opens in a new tab)
  8. 8. Derivative. definition and properties of derivatives. technical vocabulary. reading, writing of mathematical expressions.

    Lecture

    In the subject, the concept of derivation, its definition and main properties are studied in english. the meaning and use of technical terms such as derivative, rate of change, tangent line, differentiability and related rules are explained. reading, writing and interpretation of mathematical expressions related to derivation in english are also explored.

  9. 9. Geometric figures. technical vocabulary. reading, writing of mathematical expressions.

    Lecture

    In the subject, the names, characteristics and classification of the main geometric figures are studied in english. the meaning and use of technical terms such as triangle, circle, rectangle, polygon, angle, perimeter, area and volume are explained. also, reading, writing and interpreting mathematical expressions related to geometric figures in english is studied.

    Open resource: Geometric figures. technical vocabulary. reading, writing of mathematical expressions. (opens in a new tab)
  10. 10. Graphics. coordinate systems. technical vocabulary. reading and writing of mathematical expressions.

    Lecture

    In the subject, the basic concepts of graphs and coordinate systems are studied in english. the meaning and use of technical terms such as cartesian coordinate system, axis, origin, point, graph, curve and coordinate plane are explained. also, reading, writing and interpreting mathematical expressions related to graphs and coordinates in english is studied.

    Open resource: Graphics. coordinate systems. technical vocabulary. reading and writing of mathematical expressions. (opens in a new tab)
  11. 11. Introduction to artificial intelligence methods. general information about machine learning, NLP (natural language processing), automation and robotics, and machine vision. applications of artificial intelligence. technical vocabulary. reading, writing of mathematical expressions.

    Lecture

    In the subject, general information about artificial intelligence methods, machine learning, natural language processing, automation, robotics and machine vision is studied in english. the application areas of artificial intelligence in education, industry, medicine, business and everyday technologies are explained. also, the reading, writing and interpretation of artificial intelligence technical terms, algorithmic and mathematical expressions in english are examined.

    Open resource: Introduction to artificial intelligence methods. general information about machine learning, NLP (natural language processing), automation and robotics, and machine vision. applications of artificial intelligence. technical vocabulary. reading, writing of mathematical expressions. (opens in a new tab)
  12. 12. Robotics versus automation. the types of robots. size of different robots. application domain. purpose and number in the application area. the evolution of robots. technical vocabulary. reading, writing of mathematical expressions.

    Lecture

    In the subject, the differences between the concepts of robotics and automation, the classification of robots according to their types and sizes are studied in english. the application, purpose and scale of use of robots in the fields of industry, medicine, service, education and daily life are explained. also, the development history of robots, technical terminology, and the reading and writing of mathematical and technical expressions related to the subject in english are examined.

    Open resource: Robotics versus automation. the types of robots. size of different robots. application domain. purpose and number in the application area. the evolution of robots. technical vocabulary. reading, writing of mathematical expressions. (opens in a new tab)
  13. 13. Training and testing data. the concept of overfitting. independent and dependent variables. different types of data. technical vocabulary. reading, writing of mathematical expressions.

    Lecture

    In the subject, the concepts of training data and testing data in the process of machine learning, their role in building and checking the model are studied in english. the concept of overfitting, the difference between independent and dependent variables, as well as different types of data such as numerical, categorical, structured and unstructured data are explained. reading, writing and interpretation of technical terms, mathematical and statistical expressions related to data and modeling in english are also explored.

    Open resource: Training and testing data. the concept of overfitting. independent and dependent variables. different types of data. technical vocabulary. reading, writing of mathematical expressions. (opens in a new tab)
  14. 14. Fundamental concepts in statistics. main ideas in histograms. the probabilities of selecting given data points. discrete and continuous distributions. technical vocabulary. reading, writing of mathematical expressions.

    Lecture

    In the subject, the basic concepts of statistics, data collection, grouping and presentation through a histogram are studied in english. the probability of selecting given data points, concepts of discrete and continuous distributions are explained. also, the reading, writing and interpretation of statistical technical terms, probability and distribution expressions in english are examined.

    Open resource: Fundamental concepts in statistics. main ideas in histograms. the probabilities of selecting given data points. discrete and continuous distributions. technical vocabulary. reading, writing of mathematical expressions. (opens in a new tab)