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 
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
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