Course detail

Information Technology

FAST-MU002Acad. year: 2022/2023

Basic procedures for large data sets processing with using of automated functions, macros and scripting tools in MS Excel. Application of these tools to solve simple problems from the general topics of civil engineering. Course is the extension of the basic course Informatics.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Guarantor

doc. Mgr. Tomáš Apeltauer, Ph.D.

Department

Institute of Computer Aided Engineering and Computer Science (AIU)

Learning outcomes of the course unit

The ability of automatic data processing, applying makeup and scripting engineering calculations in MS Excel.

Prerequisites

Basic knowledge of MS Excel, English pre-intermediate.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

1. The environment for developing VBA applications - more than the editor.
2. Basic data types. How to work with them. Variable vs. Excel cell.
3. How affect the processing of orders. Solution conditions and repeated execution of orders.
4. Since scalar variables to fields. Indices, vectors, matrices.
5. What is a macro? Generator of macros in MS Office.
6. Build custom formulas or custom functions.
7. Visual design of the user interface.
8. Proposal forms and event handling.
9. Why were created classes and objects. Definition of simple classes and objects in VBA.
10. How to work with MS Office documents.
11. What is the object model.
12. Example solving optimization problems.
13. Example solving mechanical problems.

Work placements

Not applicable.

Aims

To get general orientation in information technologies and possibilities of their use at firm’s management. To learn basic tools of system analysis. To acquire skills and ability to model reality during formation of information system.

Specification of controlled education, way of implementation and compensation for absences

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Robin A. Reynolds-Haertle, OOP - Objektově orientované programování - Visual Basic .NET, Visual C# .NET - Krok za krokem, 2002, Microsoft Corporation (CS)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme B-P-C-MI (N) Bachelor's

    branch MI , 1 year of study, summer semester, compulsory

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

doc. Mgr. Tomáš Apeltauer, Ph.D.

Syllabus

1. The environment for developing VBA applications - more than the editor. 2. Basic data types. How to work with them. Variable vs. Excel cell. 3. How affect the processing of orders. Solution conditions and repeated execution of orders. 4. Since scalar variables to fields. Indices, vectors, matrices. 5. What is a macro? Generator of macros in MS Office. 6. Build custom formulas or custom functions. 7. Visual design of the user interface. 8. Proposal forms and event handling. 9. Why were created classes and objects. Definition of simple classes and objects in VBA. 10. How to work with MS Office documents. 11. What is the object model. 12. Example solving optimization problems. 13. Example solving mechanical problems.

Exercise

26 hod., compulsory

Teacher / Lecturer

doc. Mgr. Tomáš Apeltauer, Ph.D.

Syllabus

1. We use a macro to simplify the work in a spreadsheet 2. Variable vs. constant, assign values to memory. 3. Methods vs. attributes. We learn first automatic steps. 4. Retrieving values from a table and writes the results table. 5. Checking our running macros using conditions. 6. Unlocking our computer through the cycle. 7. Cycles continued. 8. Debugging of our macros. 9. Scripting the numerical series and its suma. 10. Scripting text based data processing and analysis. 11. Scripting numerical solutions of equations. 12. Scripting statistical and optimization tasks. 13. Scripting solution of mechanical tasks.