CS111 : Structured Programming I

Department

Department of Computer Science

Academic Program

Bachelor in computer science

Type

General

Credits

04

Prerequisite

CS100

Overview

1. Learn basic concepts in computers, programming language, data types, and develop logical thinking skills. Converting algorithms into a program in Fortran.

2. Identifying input and output sentences, simple and compound sentences, logical expressions, test operations, and repetitive sentences.

3. Study and understand how to format data and correct errors in the program.

4. Learn about advanced data structures such as matrices and employ sub-programs to improve program efficiency and the ability to read and understand programs.

Intended learning outcomes

a. Knowledge and understanding

1. Recognize the basic concepts of computer, programming language and different types of data.

2. Learn to identify the basic concepts in programming, the characteristics of the Fortran language, the use of input and output statements, simple and compound sentences, logical expressions, test operations, and iterative sentences.

3. Understands how the program data is formatted and the program's testing and debugging processes.

4. Learn about advanced data structures, such as arrays and subprograms, and how to write them.

B. mental skills

1. Analyzes the data and suggests the type of data as needed.

2. Design solutions to mathematical problems using language properties such as input and output sentences, simple and compound sentences, and logical expressions.

3. Design a specific data format according to the required data.

4. Design a problem-solving program that employs advanced data structures such as matrices and subprograms.

c. Practical and professional skills

1. Uses logical thinking to solve problems and chooses the type of data as needed.

2. Use the basics of language such as input and output sentences, simple and compound sentences, and logical expressions in solving mathematical problems and writing programs.

3. Execute the programs on the computer and make sure that the data and outputs are coordinated by comparing the outputs from the program with the outputs prepared in advance to see if the output is correct or not, and correct the errors in the program.

4. Uses advanced data structures such as arrays and subprograms as needed within the program.

D. General and transferable skills

1. The ability to communicate and work within a team

2. Dealing with computers and information technology

3. Acquiring the skill of solving problems programmatically

Teaching and learning methods

• Theoretical lectures.
• Using the computer to implement and activate examples.
• Practical exercises.

Methods of assessments

evaluation number	Evaluation methods	Evaluation period	evaluation weight	percentage	Rating date (week)	Notes
First evaluation	the first exam	An hour and a half	Section 1-3 (5-6 questions)	20%	Week 5
Second evaluation	The second exam	An hour and a half	Section 4-6 (of 5-6 questions)	20%	Week 10
Third evaluation	practical exam	hour	all scheduled	10%	Week 15
Final evaluation	final exam	Two hours	all scheduled	50%	Week 16
the total			100 degrees	100%

Course content

the week	Scientific subject	hours	lecture	Lab	exercises
1-2	Introduction and basic conceptsin the computer andlanguageprogrammingData types, data definition, expressions, variables, assignment, language reserved words, and constants	10	6	4
3-4	Input and output sentences, simple and compound sentences	10	6	4
5-6	Boolean expressions, phraseIf-then-else	10	6	4
7-8	Spinning camelDo-while, Do	10	6	4
9	Read and write data format	5	3	2
10-12	Matrices: one-dimensional / two-dimensional	15	9	6
13-14	subprograms: modular programming concepts,User-defined functions and subroutines pass transactions and implementations.	10	6	4

the reviewer

References address	Reference name	publisher	Release	Author	where it is located
Prescribed textbooks	Introduction to programming in Fortran language	Dar al-Hikma	The first	Omar Zarti	College of Science
Help books	Programming in Python language	Dar al-Hikma	The first	Bashir Al-Qayed	College of Science

English Language 1 (EL101)
Mathematics 1 (MA100)
Plan Analytic Geometry (MA101)
Introduction to statistics (ST101)
Programming Principles (CS100)
Arabic language 1 (AR051)
Calculus and Analysis principle 2 (MA102)
Solid Analytic Geometry (MA103)
General Physics І (Electricity ) (PH112)
Structured Programming I (CS111)
Arabic language 2 (AR052)
English language 2 (EL102)