1- Workshop on Development of a Startup and Turning a Creative Idea into a Business
• The concepts of entrepreneurship and startup and the difference between them
• Startup life cycle
• The principles of team building in startups
• The principles of ideation and opportunity discovery
• Business model in startup
• Funding and presentation to investors
• Startups failure factors
2- Training Course on Principles of Solution Preparation in Laboratories
• Introduction to solution making and getting to know equipment and devices
• Different states of solution concentrations
• Solution preparation in laboratories
• Molar and molal concentrations
• Percent solutions
• PPM solutions (parts per million)
• Buffering systems, preparing buffers and pH adjustments
3- Biostatistics and SPSS to Understand Research and Data Analysis
• Types of variables and their applications
• Accuracy, sensitivity, specificity, positive and negative predictive values
• Descriptive statistics (Measures of Central Tendency and Index of Dispersion)
• Different charts and their application
• Normal distribution
• Data structure in SPSS
• Methods of inserting and changing data in the application
• Methods of creating curves in SPSS
• Calculating Relative Risks and Odds Ratio
• Calculating Confidence Interval
• Statistical tests (Independent, One-way, Paired T Tests)
• ANOVA statistical test
• Chi Square statistical test
• Other statistical tests…
4- Research Methodology in Biological Sciences
• Research methodology and selection of research topic
• Principles and components of the research proposals
• Getting to know databanks including: Science Direct, Google Scholar, PubMed
• Learning principles of searching articles and review of literature
• Methods of writing problem statement
• Principles of writing objectives, questions and research hypothesis
• Various types of studies and researches
• Various observational studies
• Various interventional studies
• Different retrospective, cross-sectional and prospective studies
• Case Report and Case Series
• Case-Control
• Cohort
• Clinical trial
• Experimental studies
• Other types of studies
• Techniques and methods of data collection
• Preparation of various research questionnaires
• Various sampling methods
• Simple random sampling
• Cluster sampling
• Stratified sampling
• Non probability sampling
• Convenience sampling
• Quota sampling
• Judgmental and purposive sampling
• Snowball sampling
• Principles of determining sample size
• Introduction to data structure and types of measuring errors and distortions (Biases)
• Sensitivity and specificity of measurements
• Research ethic codes
• Preparation of Gantt charts
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5- Optimization of process parameters using Response Surface Methodology (RSM)
• An introduction to experiment design and its application
• Various methods of experiment design, advantages and disadvantages and its applications
• Principles of surface response, central composite design (CCD) and Box-Behnken design (BBD)
• Introduction to Minitab and Design Expert
• Selection of factors and examined areas according to Placket-Burman with practical examples in 2 software
• Experiment design using RSM method with applicable examples in 2 software
• Analysis and interpretation of results and charts in 2 software
• Determination of optimum condition in 2 software
Prerequisite: Basic knowledge about statistics and computers
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