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Syllabus
INFO4330 Methods of Teaching ICT
Undergraduate
The University of Georgia 2025 წ.
Given Credits: 6 ECTS
Curator : Abesadze Shorena
Admission criteria to the course No prerequisites
Description
Goals
Result
Length
Lecture and Seminars :    Week: 1
Hours: 2
Student Workload
Sum:150 Hours
Independent hours
Independent studies 90
Exam preparation - delivery 33
Contact hours
Attendance on Lectures and Seminars 21
Exams 6
Teaching and Learning Methods
  • Interactive Lectures
  • Discussions
  • Workbook methods
  • Explanatory method
  • Problem Identification and solving
  • Problem Solving exercises
  • Written work methods
Bibliography
Main bibliography
ეროვნული სასწავლო გეგმა : ( ზოგადსაგანმანათლებლო სკოლებისთვის)ლომაია, ალექსანდრე.; წიფურია, ბელა.2007
პერსონალური კომპიუტერის არქიტექტურაბენაშვილი, ა.2011
ოპერაციული სისტემა Windows 7ბენაშვილი, ა.2012
LPIC-1/CompTIA Linux+certification : Exam guide (+CD)Tracy, R.2012
საოფისე კომპიუტერული პროგრამები და ინტერნეტიასაბაშვილი, ე. ; ცირამუა, ს.2012
Introduction to algorithms-3rd ed.Cormen,Th. Others.2009
ინფორმატიკა : ალგორითმიზაციის მეთოდები 2მანდარია, გიორგი.2015
ინფორმატიკა : ალგორითმიზაციის მეთოდები 1მანდარია, გიორგი. და სხვ.2004
Programming : principles and practice using C++Stroustrup, Bjarne.2009
Artificial intelligence in educationHolmes, Wayne & Fadet, Charles & Bialik, Maya2023
AI in Education- A Practical Guide for Teachers and Young PeopleCamilleri, Vanessa & Dingli, Alexiei & Montebello, Matthew2019
1 Week

Lecture

Theme



Reading Materials:
  • ეროვნული სასწავლო გეგმა : ( ზოგადსაგანმანათლებლო სკოლებისთვის) ლომაია, ალექსანდრე.; წიფურია, ბელა. paragraph: --

2 Week

Lecture

Theme



Reading Materials:
  • პერსონალური კომპიუტერის არქიტექტურა ბენაშვილი, ა. paragraph: --

3 Week

Lecture

Theme



Reading Materials:
  • Artificial intelligence in education Holmes, Wayne & Fadet, Charles & Bialik, Maya paragraph: --
  • AI in Education- A Practical Guide for Teachers and Young People Camilleri, Vanessa & Dingli, Alexiei & Montebello, Matthew paragraph: --

4 Week

Lecture

Theme



Reading Materials:
  • Artificial intelligence in education Holmes, Wayne & Fadet, Charles & Bialik, Maya paragraph: --
  • AI in Education- A Practical Guide for Teachers and Young People Camilleri, Vanessa & Dingli, Alexiei & Montebello, Matthew paragraph: --

Midterm

Exam topic

Exam Type - , Written exam

Exam Component - Open Questions

Point sum
Criteria Point sum
Open Questions 5
• Answer is exact and precise, terminology is used appropriately 100%
• Answer is correct, but not exhaustive, terminology is described precisely 75%
• Answer is not exhaustive, terminology precision is violated 50%
• Answer is fragmented 25%
• Answer is incorrect 0%
Problem Solving 15
• Task is completely and thoroughly solved 100%
• Task is clearly but partially solved, no significant errors made 75%
• Task is partially solved, with some errors marked 50%
• Task is partially solved with significant errors marked 25%
• Task is not solved/is solved incorrectly 0%



5 Week

Lecture

Theme



Reading Materials:
  • Programming : principles and practice using C++ Stroustrup, Bjarne. paragraph: --

6 Week

Lecture

Theme



Reading Materials:
  • Programming : principles and practice using C++ Stroustrup, Bjarne. paragraph: --

7 Week

Lecture

Theme



Reading Materials:
  • Programming : principles and practice using C++ Stroustrup, Bjarne. paragraph: --

Midterm

Exam topic

Exam Type - , Written exam

Exam Component - Open Questions

Point sum
Criteria Point sum
Open Questions 5
• Answer is exact and precise, terminology is used appropriately 100%
• Answer is correct, but not exhaustive, terminology is described precisely 75%
• Answer is not exhaustive, terminology precision is violated 50%
• Answer is fragmented 25%
• Answer is incorrect 0%
Problem Solving 15
• Task is completely and thoroughly solved 100%
• Task is clearly but partially solved, no significant errors made 75%
• Task is partially solved, with some errors marked 50%
• Task is partially solved with significant errors marked 25%
• Task is not solved/is solved incorrectly 0%



8 Week

Lecture

Theme



Reading Materials:
  • Introduction to algorithms-3rd ed. Cormen,Th. Others. paragraph: --
  • ინფორმატიკა : ალგორითმიზაციის მეთოდები 1 მანდარია, გიორგი. და სხვ. paragraph: --

9 Week

Lecture

Theme



Reading Materials:
  • Introduction to algorithms-3rd ed. Cormen,Th. Others. paragraph: --
  • ინფორმატიკა : ალგორითმიზაციის მეთოდები 1 მანდარია, გიორგი. და სხვ. paragraph: --

10 Week

Lecture

Theme



Reading Materials:
  • Introduction to algorithms-3rd ed. Cormen,Th. Others. paragraph: --
  • ინფორმატიკა : ალგორითმიზაციის მეთოდები 1 მანდარია, გიორგი. და სხვ. paragraph: --

Midterm

Exam topic

Exam Type - , Written exam

Exam Component - Open Questions

Point sum
Criteria Point sum
Open Questions 5
• Answer is exact and precise, terminology is used appropriately 100%
• Answer is correct, but not exhaustive, terminology is described precisely 75%
• Answer is not exhaustive, terminology precision is violated 50%
• Answer is fragmented 25%
• Answer is incorrect 0%
Problem Solving 15
• Task is completely and thoroughly solved 100%
• Task is clearly but partially solved, no significant errors made 75%
• Task is partially solved, with some errors marked 50%
• Task is partially solved with significant errors marked 25%
• Task is not solved/is solved incorrectly 0%



11 Week

Lecture

Theme



Reading Materials:
  • Introduction to algorithms-3rd ed. Cormen,Th. Others. paragraph: --
  • ინფორმატიკა : ალგორითმიზაციის მეთოდები 2 მანდარია, გიორგი. paragraph: --

12 Week

Lecture

Theme



Reading Materials:
  • Introduction to algorithms-3rd ed. Cormen,Th. Others. paragraph: --
  • ინფორმატიკა : ალგორითმიზაციის მეთოდები 2 მანდარია, გიორგი. paragraph: --

13 Week

Summary Lection

14 Week

Free Week

15,16,17 Week

Final Exam

Exam topic

Exam Type - Written exam

Exam Component - Open Questions

Point sum
Criteria Point sum
Open Questions 10
• Answer is exact and precise, terminology is used appropriately 100%
• Answer is correct, but not exhaustive, terminology is described precisely 75%
• Answer is not exhaustive, terminology precision is violated 50%
• Answer is fragmented 25%
• Answer is incorrect 0%
Tasks Solving 30
• Task is completely and thoroughly solved 100%
• Task is clearly but partially solved, no significant errors made 75%
• Task is partially solved, with some errors marked 50%
• Task is partially solved with significant errors marked 25%
• Task is not solved/is solved incorrectly 0%



18,19 Week

Recovery

Evaluation system:
Midterm 60 point 60%
Final Exam
  • Written exam - 40 point (Min 20 point)
    • Presentation - 40%, theme for presentation - 60%
    Note: It is mandatory to overcome the minimum in each component. Otherwise, the overall assessment presentation points will be abolished.
40 point 40%

Point GPA The university assessment   The general assessment in Georgia
97-100 4,00 A+ A Excellent
94-96 3,75 A
91-93 3,50 A-
87-90 3,25 B+   Very good
84-86 3,00 B B
81-83 2,75 B-  
77-80 2,50 C+   C good
74-76 2,25 C
71-73 2,00 C-
67-70 1,75 D+   D Satisfactory
64-66 1,50 D
61-63 1,25 D-
51-60 1,00 E E Sufficient
Not passed
41-50   FX FX Insufficient
<40   F F Failed





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