This course will introduce students, researchers and professionals to the steps needed to acquire expertise in the genomic prediction area applied to animals, plants and humans. The course will describe all the necessary steps involved.


 The course is structured in modules over five days. Each day will include introductory lectures with class discussions of key concepts. The remainder of each day will consist of practical hands-on sessions. These sessions will involve a combination of both mirroring exercises with the instructor to demonstrate a skill as well as applying these skills on your own to complete individual exercises. After and during each exercise, results will be interpreted and discussed in group.Time schedule will be adjusted according to the timezone of the participants. Discussions among participants and with the instructors on concepts and data analysis will be possible through video conferencing and a dedicated Slack channel.


The course is aimed at students, researchers and professionals interested in learning the different steps and approaches to perform a genomic prediction study. It will include information useful for both beginners and more advanced users. We will start by introducing general concepts of Quantitative Genetics and mixed model theory, progressively describing all steps and putting there seamlessly together in a general workflow. Attendees should have a background in biology, specifically genetics; previous exposure to statistical genetics would also be beneficial. There will be a mix of lectures and hands-on practical exercises using R, Linux command line and custom software. Some basic understanding of R programming and Unix will be advantageous. Attendees should also have some basic familiarity with genomic data such as those arising from NGS experiments.

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LEED V4 GREEN ASSOCIATE 101 - Exam Prep Course


LEED is an internationally recognized green building certification system and is applied worldwide. It is applied for all building types as it provides a framework for healthy, highly efficient, and cost-saving green buildings. This course will provide an inclusive introduction to the LEED V4 rating system and cover informative and essential content required to establish an efficient foundation in the knowledge of LEED and becoming a LEED Green Associate. 

The course will also provide guidance on how to register and pass the LEED Green Associate exam by covering the relevant material required. 


Please Note That This Is An In-Person Course And Is Only Applicable For Kuwait Residents.


SEEDS 101 LEED Green Associate Guide (EBOOK: includes 200 Practice Mock Exam - Questions, summary sheets & tips for passing the exam!)

Course Content & Presentations

Interactive Session 

Attendance Certificate with USGBC Logo


Day 1 - 5:00 PM - 8:00 PM

- Introduction to LEED Green Associate 101

- Buildings & The Environment

- LEED & LEED Processes

- Integrative Process

- Location & Transportation 

Day 2 - 5:00 PM - 8:00 PM

- Sustainable Sites

- Water Efficiency

- Energy & Atmosphere

- Materials & Resources

- Indoor Environmental Quality

 Day 3 - 5:00 PM - 8:00 PM 

- Innovation in Design

- Regional Priority

- LEED Green Associate Exam

- Practice Questions / Project Applications 

Hear it from people who loved this course!

"A very complete and practical overview of the LEED certifications, the requirements and the process for certification. Successfully delivers despite the online / remote training format. Yasmeen has the knowledge and interest in her subject matter and manages to conduct a very information-packed session in an engaging way."

- Panos Lazaratos, Expansion Project Leader Morocco

"I participated in SEEDS Platform LEED V4.1 Green Associate Exam Preparation Course in May. The course was very beneficial and nicely organized. As an instructor, Yasmeen Alkandari did an amazing job in delivering the required information for the test. She explained everything in detail, and was very patient in answering questions. I highly recommend taking this course, and I hope that SEEDS will offer a course related to the LEED Accredited Professional Exam in the near future. "

- Abdulaziz Alzaabi, Structural Engineer

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In recent years, novel technology for obtaining DNA molecules from archeological material has opened new horizons in the development of the field of paleogenomics. In this course, we will explore how ancient DNA (aDNA) data is generated and analyzed in population genomic research. Course content will focus on eukaryote genomes, in particular the human genome, for which a plethora of aDNA data is publicly available. On the first day of the course, participants will learn about the differences between aDNA and DNA obtained from archeological material, and how to control for DNA degradation. From Day 2 through Day 5, participants will learn about the theory and application of the main statistical methods used to analyze aDNA data. The course is structured as a combination of lectures and hands-on exercises, which will be contextualized with real research questions. Hands-on exercises will be run in a Linux environment and visualization will be run in R using RStudio.





The course is aimed at graduate students and researchers in genetics, ecology, and anthropology who are interested in using aDNA data for population genetics inference. The course is focused on computational methods for aDNA data processing and analysis. We will go only briefly over the laboratory methods used to extract aDNA and prepare genomic libraries for sequencing. Although the examples discussed in class will focus on humans, all methods discussed in class will be relevant to those who study other organisms for which aDNA data is available.




Participants should have a background in genetics, genomics, and/or population genetics, be comfortable with Unix and R, and be familiar with Next Generation Sequencing data (any organism). We ask participants without previous experience in Unix and R to go through suggested tutorials on their own before the course. No previous experience with aDNA is required.




Attendants should have basic knowledge of UNIX and will need to use the command line on their laptops. Familiarity with a scripting language such as Python, or R will be helpful but is not required.



Monday – Classes from 2 to 8 pm Berlin time



-          Introduction to ancient aDNA: Obtaining DNA molecules from archeological material


-          The characteristics of aDNA


-          Next Generation Sequencing in paleogenomics


-          aDNA screening


-          Data filtering


-          aDNA public resources


-          Practical: analyzing postmortem damage patterns on DNA molecules


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International Congress on Nutrition & Health (ICNH-2022)

Conference of ICNH

We are glad to invite you to the International Congress on Nutrition & HealthICNH going to commence from 27th Jan - 28th Jan'2022 at Manama. ICNH and is being organized by IIERD which anticipates more than 500 participants around the world with thought provoking Keynote lectures, Oral talks and Poster presentations, Symposia, Workshops.

This two days is your best opportunity to reach the largest assemblage of participants from academia, students , researchers and industrial professionals. We will be delighted and honoured by gathering professionals under one roof with the theme of International Congress on Nutrition & Health.

International Congress on Nutrition & Health providing you limitless opportunities to make new connections and expand your professional contacts. We will give you the opportunity to gain insights and meet the people who are driving innovation across the field of International Congress on Nutrition & Health from all over the world to meet up your curiosities. Sessions discussed at the event will challenge you to think big, question and discover, break boundaries and redefine, be challenged and inspired. Meet our business delegates & sponsors, share your vision & get an amazing opportunity to get funded for your further studies at International Congress on Nutrition & Health.

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innosft gulf

Seminar: Getting Started with Ethereum and Cryptocurrencies

About this event

Innosoft Gulf, a leading AI and Big Data Education Center in the Middle East and North Africa is very pleased to invite you, your friends, and colleagues to a Free Seminar on How to Get Started with Ethereum and Cryptocurrencies. During this event, you will learn how to build and deploy Ethereum Smart Contracts.

This event will be delivered on Tuesday, 25 January 2022 from 7:00 PM to 8:30 PM at our education center in Dubai Knowledge Park (Block 6, Office F02).


During this seminar, we will cover the following topics:

The Blockchain Ecosystem

What is Ethereum?

Difference between Bitcoin & Ethereum

Ethereum Use Cases

How to build Ethereum Smart Contracts

MetaMask and Transactions

Truffle and Ganache

Solidity and Smart Contracts

Deployment Tools and IDE

How to register?

Participation in this seminar is free of charge. However, the number of seats available is limited.  To secure your seat, please make your reservation today.

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This course will provide a guide to analyze telemetry data from animals, from explorative data, through simulating space use from fitted integrated step selection functions.


There will be several opportunities to introduce, discuss and use your own data. The course will consist of brief lectures to introduce a topic, guided coding sessions, and independent exercises with the opportunity to discuss questions with the instructors.


We assume some basic awareness of statistical analysis (linear modeling, etc), as well as some experience with code for data analysis with program R.

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Do we provide our university students with enough Digital Entrepreneurial Competences?


Universities throughout the world provide students with knowledge and skills for digital entrepreneurship and prepare them for the dynamic labor market. Currently there is no measure to assess the level of digital entrepreneurial competences (DEC) acquired by the students during their formal university education.

Join us in this workshop that will provide a roadmap to develop the methodology needed to measure the level of digital entrepreneurial competences acquired by students. This way, the universities would be able to measure the effects of their educational efforts with more precision and to adjust their curriculums to better fit the needs of the contemporary labor market.

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FREE WEBINAR: Waste Management Principles

About the event 

In this webinar, you will learn about the problem of waste, which is one of the major environmental problems that countries are currently paying increasing attention to, not only for its harmful effects on public health and the environment and its distortion of the civilized face, but also for its social and economic effects. Availability or lack thereof, she could have avoided

With the increase in population, the high standard of living and rapid industrial and technical progress, the quantities of solid waste resulting from various human activities have diversified and increased, and the disposal process has become one of the most prominent problems facing cities and human gatherings due to the dangers this waste poses to the environment and its natural resources and to human health and safety.

Accordingly, the development of an integrated waste management system has become one of the most important elements of waste management strategies to find a special orientation towards waste collection and disposal and to innovate administrative, technical, technical and economic methods that ensure the various collection, disposal and treatment processes and the use of modern methods and techniques and modern trends in these areas.

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Innosoft Gulf Education

Seminar on Artificial Intelligence for Decision Makers

This seminar will introduce decision-makers to key concepts, methodologies, and best practices with respect to Artificial Intelligence.

About this event

Innosoft Gulf, a leading Artificial Intelligence and Big Data Education Center in the Middle East and North Africa (MENA) region, is very pleased to invite you, your colleagues, and friends to a Free Seminar on Artificial Intelligence for Decision Makers.  This event will be delivered at our Education Center in Dubai Knowledge Park (Block 6, Office F02) on Wednesday, 29 December 2021 from 7:00 PM to 8:30 PM.


• What is Big Data?

• What is AI?

• What is Data Science?

• Difference between AI and Data Science

• AI Terminology

• What is Machine Learning?

• Difference between AI and Machine Learning

• What makes an AI Company?

• What Machine Learning can and cannot do

• Non-Technical Explanation of Deep Learning and Neural Networks

• How to Become an AI-Driven Organization

How to register?

Participation in this seminar is free of charge. However, the number of seats available is limited. To secure your seat, please make your reservation today.

We look forward to welcoming you to this very exciting event!

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Physalia courses



This course aims at giving the students abilities in R programming that go beyond basic R usage. This includes both learning important frameworks as well as tips & tricks and coding style.


The students should have a basic skill set in R. They should be able to write simple programs comfortably, install packages from CRAN and BioConductor, be comfortable with their preferred coding environment and basic data import and export functions.


Basic skills in statistics are necessary. The students should understand the concepts of statistical hypothesis testing and p-values. However, an in-depth introduction to these concepts will also be provided.


Learning how to code is most effective if applied to a real problem. The students are highly encouraged to bring their own ideas for programs. A few ideas, however, will be provided.





The students will learn:



             good coding practices


             sanitizing data, the tidyverse


             advanced graphics in R (both base R graphics and ggplot2)


             the R modelling interface


             using R for manuscript writing


             how to create own R packages




Each day will be split in several short blocks: a short (20 minutes) lecture often combined with demonstrations, 35 minutes of discussion, individual excercise and problem solving, 5 minutes break.



There will be time for supervised work, i.e. solving questions and problems or working on your own projects, while you will still be able to ask questions or request help.



At the end of each day, there will be a concise summary, as well as time for questions, comments and queries.



 Monday-2-8 pm Berlin time





            Good coding practices and common fails" and discussion (30 minutes)


            Hands on sessions: Introducing data sanitization with tidyverse: (4 hours)


            Supervised work / exercise: you will be asked to clean up a very messy data set (2 hours) and given additional exercises. Furthermore, you are encouraged to work with your data.



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