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Programme Details


Syllabus

Data Analysis by using SPSS

• This course introduces students to the scientific approach to data analysis. Weekly classes and tutorials are geared toward helping the students gain a basic understanding of experiments. In the lectures, students learn about the fundamentals of quantitative research and are accustomed to strategies for data analysis, hypothesis testing, and statistical inference. Each lecture is followed by a computer lab session, where students put their knowledge to practice, and perform tasks that revolve around visualizing data, and conducting statistical analyses.

C Programming Lab

Guidelines

Article

Follow Coding standards

Article I

The output of the programs should be neatly formatted

Article II

The programs should be user friendly and interactive

Article III

Use comment wherever necessary

Salient Features

• 
  Approaching the subject from theoretical and practical points of view.
• 
  Opportunity to attend seminars, workshops etc.
• 
  Extra-curricular activities for peer interaction, growth of organizational skills and personality development.
• 
  Well-equipped and spacious laboratories.
• 
  Well qualified and experienced staff.
• 
  Industrial collaboration/training.
• 
  Placement opportunities.
• 
  Good library and internet facilities.
• 
  Industrial /Institutional projects.
• 
  CSIR/NET coaching.
• 
  Journal club to discuss research papers.
• 
  Gust lectures by experts from the field.

Syllabus

Data Analysis by using SPSS

• This course introduces students to the scientific approach to data analysis. Weekly classes and tutorials are geared toward helping the students gain a basic understanding of experiments. In the lectures, students learn about the fundamentals of quantitative research and are accustomed to strategies for data analysis, hypothesis testing, and statistical inference. Each lecture is followed by a computer lab session, where students put their knowledge to practice, and perform tasks that revolve around visualizing data, and conducting statistical analyses.

C Programming Lab

Guidelines

Article

Follow Coding standards

Article I

The output of the programs should be neatly formatted

Article II

The programs should be user friendly and interactive

Article III

Use comment wherever necessary

Salient Features

• 
  Approaching the subject from theoretical and practical points of view.
• 
  Opportunity to attend seminars, workshops etc.
• 
  Extra-curricular activities for peer interaction, growth of organizational skills and personality development.
• 
  Well-equipped and spacious laboratories.
• 
  Well qualified and experienced staff.
• 
  Industrial collaboration/training.
• 
  Placement opportunities.
• 
  Good library and internet facilities.
• 
  Industrial /Institutional projects.
• 
  CSIR/NET coaching.
• 
  Journal club to discuss research papers.
• 
  Gust lectures by experts from the field.

Syllabus