Empowering Science

 

DESCRIPTION

Armenian-Indian Center for Excellence in ICT (AITC) and Enterprise Incubator Foundation (EIF), with the support of PMI Science, are implementing the “Empowering Science” program for scientists, Ph.D., and master students. Last year 104 people have already got a chance for personal and professional growth in frame of this program.

The aim of the “Empowering Science” program is to develop the scientific capacity of Armenia by increasing the number of current and future scientists with advanced skills in different directions. Scientists, Ph.D., and master students have an opportunity to get involved in some of the 9 specialized courses. The courses have been designed to meet targeted demands of different academic directions and to provide participants with the advanced knowledge and skills relevant for the future successful career in Armenia.

 

The trainings are free of charge!

 

The series of training courses:


Python for Data Science

 

KNOWLEDGE TO BE GAINED

Topics:

  • Jupyter interface
  • Variables and types
  • Lists, Dictionaries
  • String formatting and operations
  • Conditions, Loops
  • Functions
  • Modules and packages
  • Visualization: Matplotlib
  • Numpy
  • Pandas

Using scikit – learn package:

  • Regression
  • Classification
  • Clustering

Participants’ pre - requisites:

no prerequisites, but the basic knowledge of any programming language is a plus

 

TRAINING DETAILS

Training start day: November 12, 2020 (Online/Offline)

Training duration: 28 hours / 14 days

Deadline: November 10, 2020

Training's days: Monday and Thursday at 16:30-18:30


Python for Data Science


(Advanced)

 

KNOWLEDGE TO BE GAINED

1. Data science basics:

  1. Numpy
  2. Pandas

2. Scikit-learn usage examples:

  1. Regression
  2. Classification
  3. Dimensionality reduction 

3. Using Keras and Tensorflow:

  • Regression
  • Classification
  • Clustering
  • Reinforcement learning

Participants’ pre - requisites:

The knowledge of the Python language


TRAINING DETAILS

Training start day: November 12, 2020 (Online/Offline)

Training duration: 28 hours / 14 days

Deadline: November 10, 2020

Training's days: Monday and Thursday at 19:00-21:00


 

LINUX Essentials


KNOWLEDGE TO BE GAINED

  • Brief historical overview of UNIX/Linux Operating Systems.
  • The role of Operating System. Main principles of Linux OS functionality.
  • Linux Distributions, Repositories, Packaging. Linux Architecture. Kernel.
  • User accounts. Users, Groups, Passwords. Logging in and logout.
  • Superuser (root). Gaining superuser access (su, sudo).
  • Linux User Interface. Terminal. Command Line Interface.
  • Linux File system. Basic File Management Commands.
  • File permissions. Filesystem browsing. I/O Redirection. Pipes
  • Linux Manuals. Text Editors.
  • Linux processes. Signals. Process management. Background jobs. Periodic processes.
  • Software packages. File archives in Linux.
  • Basic text processing utilities. Disk/file space usage. Some other useful commands.
  • Structure of important files. Cron.
  • Initial boot proccess. Boot loader, MBR.
  • Understanding of Shell interpreters. Environments Variables.
  • Shell-scripting basics. Shell as a programming language. Linux startup scripts – examples of shell scripts


TRAINING DETAILS

Training start day: November 5, 2020 (Online/Offline)

Training duration: 20 hours / 8 days

Deadline: November 3, 2020

Training's days: Monday and Thursday at 16:00-18:30

 

Gromacs Molecular Modeling

 

KNOWLEDGE TO BE GAINED

  • Introduction to Molecular dynamics (MD)
  • MD program packag es
  • MD force fields
  • GROMACS file formats
  • System preparation
  • Energy minimization
  • System equilibration
  • Production simulation
  • Trajectory Analysis

TRAINING DETAILS

Training start day: November 18, 2020 (Online/Offline)

Training duration: 28 hours / 14 days

Deadline: November 16, 2020

Training's days: Wednesday at 16:30-18:3and Saturday at 12:00-15:00


Computational Chemistry


KNOWLEDGE TO BE GAINED

  • Introduction: the rise of computational chemistry
  • Particle description approaches: molecular mechanics; potential energy surface
  • Transition state theory
  • Classical approach: force field method. Molecular Dynamics
  • Quantum approach: general principles; basic approximations
  • Hartree - Fock method
  • Density Functional method
  • Electron correlation. Ab initio, empirical, semi-empirical methods.
  • Basis sets: structure, general workflow logic
  • Laboratory work

 

TRAINING DETAILS

Training start day: November 13, 2020 (Online/Offline)

Training duration: 20 hours / 10 days

Deadline: November 11, 2020

Training's days: Tuesday and Friday at 16:30-18:30

 

Project Management for Researchers

 

LEARNING OBJECTIVES 

  • What management processes are involved in project management?
  • Examine the best ways to identify a project goal.
  • Explore the fundamentals of analyzing project stakeholders.
  • Dive into the processes management and explore top softs
  • Identify the fundamentals of developing a project budget.
  • Distinguish the best ways to craft a quality plan.
  • Explore the similarities and differences between traditional and agile project management.

KNOWLEDGE TO BE GAINED

  • Goal Setting and main resources
  • The team Management main principles
  • Processes Management
  • Time management
  • MS Project (practice)
  • Client Management
  • Milestones
  • Project Management vs Agile
  • TOP Agile Tools Online (Free)

We will provide Agile project management digital book.

 

TRAINING DETAILS

Training start day: November 6, 2020 (Online/Offline)

Training duration: 18 hours / 9 days

Deadline: November 4, 2020

Training's day: Wednesday & Friday at 18:30-20:30


 How to write successful proposal in scientific fields

KNOWLEDGE TO BE GAINED
  • Competitive funding schemes in science: general introduction
  • Writing a proposal: general guidance, step-by-step advises
  • Introduction to the main international grant programs: H2020, COST actions, ANSEF, etc.
  • Soft skills for scientists: recommendations on writing proposals and not only

TRAINING DETAILS

Training start day: November 17, 2020 (Online/Offline)

Training duration: 12 hours / 5 days

Deadline: November 15, 2020

Training's days: Tuesday at 16:00-18:30

 

How to write successful research and academic writing

KNOWLEDGE TO BE GAINED
  • What does it mean to conduct research?
  • Choosing the right place for publication
  • Writing skills for researchers: articles, reports, theses, abstracts, etc.
  • Presenting your results to scientific audience and wider public

 

TRAINING DETAILS

Training start day: Novmber 25, 2020 (Online/Offline)

Training duration: 12 hours / 5 days

Deadline: November 23, 2020

Training's days: Wednesday at 16:00-18:30


Effective Communications and Negotiations


LEARNING OBJECTIVES 

  • Improve existing communication skills
  • Learn how to develop Emotional Intelligence
  • Improve verbal and non-verbal communication skills
  • Get over the barriers and make successful communications
  • Negotiate in the best way
  • Make win-win strategy during the negotiations
KNOWLEDGE TO BE GAINED
  • Elements of Communication
  • EQ Emotional Intelligence in Communications 
  • Verbal and Non-verbal Communications 
  • Barriers and Tool in Communications
  • Negotiations and Communications
  • Negotiations by Harvard Model


TRAINING DETAILS

Training start day: December 9, 2020 (Online/Offline)

Training duration: 12 hours / 6 days

Deadline: December 7, 2020

Training's days: Wednesday & Friday at 18:30-20:30

 

HOW TO APPLY

All trainings are free of charge, however the places for each training course are limited. The selection will be based on the submitted Cover Letter and CV. Upon successful completion the participants will receive certificates:

 

https://forms.gle/HKX9hrhsSW2vWxWt9


Please make sure you have read the Privacy Notice before applying.