Allied Health Science

AHSBCL 1120 – Basic Computer Literacy

Theory-10 hours

Practical-50 hours

The computer unit of the university provides a course in IT during the introductory period and first term. Students must pass the examination in IT to be permitted to appear at the first examination for medical degrees.

Objectives

The co-module in IT is expected to provide sufficient knowledge, skills and attitudes to make use of the Information Technology for effective learning and practice of medicine.

  • Have basic understanding of the hardware of the computer system and their functions.
  • Be able to protect the computers from malware such as viruses.
  • Be able to protect themselves from harmful effects of using computers.
  • Be aware of computer ethics.
  • Be able to do word processing to prepare documents such as notes, research reports etc.
  • Be able to use spreadsheet packages for their needs.
  • Be able to develop databases regarding reference material, notes, patient details etc for future retrieval.
  • Be able to prepare and do effective presentations using computers.
  • Be able to use statistical packages to do data analysis for their needs.
  • Be able to use internet to perform literature search and electronic communication.

The teaching and learning activities include Lectures for theoretical aspects and practical training for applications with close guidance.

Syllabus Details

No Topics Hrs

1

Introduction to IT 10 Hrs – Lectures

2

Advanced Techniques in Word Processing 15 Hrs – Practicals

3

Presentation Techniques 7 Hrs – Practicals

4

Application of Statistical packages 28 Hrs – Practicals

Introduction to IT (10 Hrs.)

No Topics Hrs

1

Basic concepts of IT and its Promises, Computer System, Characteristics of Computer, Type of computers and its classifications, Data versus Information, Units of measurement for capacity.

2

2

System Unit, Input devices and its functions, Output devices and its functions and Secondary storage devices.

1

3

Application software – Tools for documentation and information management, Electronic Medical Record Keeping(EMR), Medical Databases, Graphics packages, Statistical software, Computer Aided Design (CAD), Communication softwares and etc.

2

4

Use of computer networks and communication services – Web Browsing, e-mail, Short message services, Downloading, Teleconferencing, Shared resource, Telnet, E-Learning, E-Commerce, Portable works and etc

2

5

Challenges of Information Technology – Health, Ergonomics & the Environment, Cyber Ethics, Threats and Safeguarding Computers and Communications Systems

3

Advanced Techniques in Word Processing (15 Hrs.)

No Topics Hrs

1

(Revision) Introduction to Windows, GUI, File management

1

2

(Revision)Start with Microsoft Word, Working with Text, Formatting Pages, Formatting Characters and Paragraphs, using Indents, Tabs

1

3

Working with Tables

1

4

Automating Tasks

1

5

Documents with Columns and Art

1

6

Documentation of project reports/thesis

6

7

Creating simple web pages

2

8

Mail merge, Previewing and Printing Documents

2

Presentation Techniques (7 Hrs.)

No Topics Hrs

1

Creating a Presentation , Applying and Modifying Design Templates

2

2

Viewing and Changing Presentation Colours, Editing a Presentation, Adding and Modifying Slide Text

2

3

Inserting Information into PowerPoint, Drawing and Modifying Shapes

1

4

Creating a Multimedia Presentation ,Printing a Presentation, Setting Up and Delivering a Slide Show

2

Application of Statistical packages (28 Hrs.)

No Topics Hrs
1 Use of Excel for statistical work 8
2 Use of R (Open Source package) for statistical work 2
3 Use of Social science packages like SPSS 18

  • Entering data, variable types, variable labels, value labels, missing values.
  • Transforming data and creating new variables: recode, compute, count.
  • File manipulations: sort file, split file, select cases, merge files.
  • Drawing random samples.
  • Basic descriptive statistics: descriptive, frequencies, explore, crosstabs.
  • Graphs: histogram, error bar, box-plot, bar chart, scatter etc.
  • Reading data into SPSS data files from outer sources: excel files & text files.
  • Advanced statistical procedures such as: t-test, Chi-square, regression etc.
  • Creating, editing and running procedures from the syntax file.
  • Creating and editing output files.
  • Saving output files in different formats.

Method of Evaluation

In-course assessment : 40%

1 Practical (Advanced Techniques in Word Processing) 10%
2 Presentation (Presentation Techniques) 10%
3 Two Practicals (Application of Statistical packages) 20%

End of course Examination : 60%

Part I MCQ (40-50) Questions – 01 hour
Part II Practical – 03 hours

Note:

  • The result will be
    Pass:
    Candidate must obtain 50 marks or above to pass.
    Fail:
    Below 50 is fail.

  • Repeat examination will be conducted on the next academic year. In course marks will be carried over to all subsequent attempts of the student.