Working with gifted students

Working with gifted students

1.

Subject title

Working with gifted students

Работа со надарени ученици

2.

Code

F23L3S057

3.

Study program

Стручни студии за програмирање, Примена на информациски технологии, Софтверско инженерство и информациски системи, Компјутерски науки, Компјутерско инженерство, Интернет, мрежи и безбедност, Software engineering and information systems, Примена на информациски технологии, Софтверско инженерство и информациски системи, Компјутерски науки, Компјутерско инженерство, Интернет, мрежи и безбедност, Software engineering and information systems, Стручни студии за програмирање, Информатичка едукација,

4.

Organizer of the study program (unit, institute, department, division)

Faculty of Information Sciences and Computer Engineering

5.

Study cycle (first, second, third)

Прв циклус

6.

Academic year / semester

3 / Летен

7. Number of ECTS credits

6.0

8.

Instructor

проф. д-р Ана Мадевска Богданова

9.

Prerequisites for enrollment

Алгоритми и податочни структури или Примена на алгоритми и податочни структури

10.

Subject goals and competencies:


Students are trained to become professors who will successfully identify students who have the potential to expand knowledge in the field of informatics and solving tasks of an algorithmic nature, using advanced structures and algorithms that are not covered by the regular program. Future teachers are trained to convey basic knowledge about the advanced program to students and guide them in the process of participating in national and international competitions in informatics.

11.

Subject content:


Lectures: 1. Techniques for recognizing gifted students 2. Techniques for developing motivation for extracurricular activities with gifted students 3. Brainstorming technique for developing algorithms 4. Basics of data structures and appropriate algorithms for tasks for Competitions: (lists, trees, graphs); 5. Recursion, greedy algorithms, divide and conquer, dynamic programming 6. Types of tasks for competitions - mazes 7. Types of tasks for competitions - optimization 8. Types of tasks for competitions - logical games 9. Rules and regulations for participation in International Olympiads. 10. Development of tasks from competitions 11. Introduction Exercises: 1. Techniques for recognizing gifted students 2. Techniques for developing motivation for extracurricular activities with gifted students 3. Brainstorming technique for developing algorithms 4. Tasks with lists, trees, graphs adapted for high school students 5. Tasks with Greedy Algorithms, Divide and Conquer, Dynamic Programming Tailored for High School Students 6. Tasks for competitions - mazes 7. Tasks for competitions - optimization 8. Tasks for competitions - logical games 9. Rules and regulations for participation in International Olympiads. 10. Development of tasks from competitions 11. Gifted students in the world

12.

Learning methods:


Предавања со користење на презентации, интерактивни предавања, вежби (користење на опрема и софтверски пакети), тимска работа, пример случаи, поканети гости предавачи, самостојна изработка и одбрана на проектна задача и семинарска работа.

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

30 + 45 + 15 + 15 + 75 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

30 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

45 hours

16.

Other forms of activities

16.1.

Project tasks

15 hours

16.2.

Independent tasks

15 hours

16.3.

Homework

75 hours

17.

Grading method

17.1.

Tests

10 points

17.2.

Seminar work / project (presentation: written and oral)

15 points

17.3.

Activities and learning

10 points

17.4.

Final exam

70 points

18.

Grading criteria (points / grade)

up to 50 points

5 (five) (F)

from 51 to 60 points

6 (six) (E)

from 61 to 70 points

7 (seven) (D)

from 71 to 80 points

8 (eight) (C)

from 81 to 90 points

9 (nine) (B)

from 91 to 100 points

10 (ten) (A)

19.

Condition for signature and taking final exam

Реализирани актибвности 15.2 и 16.1

20.

Language of instruction

Македонски и англиски

21.

Quality assurance method

механизам на интерна евалуација и анкети

22.

Literature

22.1.

Mandatory literature

No.

Author

Title

Publisher

Year

4645

Sandor Lehoczky, Richard Rusczyk

The Art of Problem Solving: pt. 2 And beyond solutions manual

AOPS Press

2006

4646

Nicole Tetreault

Insight Into a Bright Mind: A Neuroscientist`s Personal Stories of Unique Thinking

Gifted unlimited, LLC

2021

4647

Emily Mofield

Vertical Differentiation for Gifted, Advanced, and High-Potential Students

Routledge

2023

22.2.

Additional literature

No.

Author

Title

Publisher

Year