Introduction to
Bioinformatics
Our Introduction to Bioinformatics course is a structured, four-part course for Saudi university students. It begins with the basics of bioinformatics and progressively covers more advanced topics. Practical projects round off the course, offering students opportunities to put their acquired skills into action in real-life situations.
Who can attend
The Introduction to Bioinformatics course is specifically designed for Saudi university students engaged in studies within the life sciences domain. This includes, but is not limited to, fields such as medical sciences, clinical studies, biological sciences, and medical technology. The course is ideal for students who demonstrate a deep interest and enthusiasm for exploring the intersections of biology and information technology.rnrnIn addition to being currently enrolled in a relevant degree, students must also meet the following criteria to qualify for the course.rnrnu003colu003ern tu003cliu003eCandidates are required to u003cstrongu003epay a subscription feeu003c/strongu003e. This fee is mandatory to cover course costs and resources. Details regarding the fee amount and payment process will be provided upon application.u003c/liu003eu003cbru003ern tu003cliu003eCandidates must u003cstrongu003ecompleteu003c/strongu003e u003cstrongu003edesignated prerequisite coursesu003c/strongu003e u003cstrongu003eavailable on Courserau003c/strongu003e. These courses are designed to ensure that all participants have the foundational knowledge necessary for the course.u003c/liu003eu003cbru003ern tu003cliu003eA u003cstrongu003equalification examu003c/strongu003e will be administered to assess the candidates’ understanding of key concepts. This exam must be passed to proceed further in the course.u003c/liu003eu003cbru003ern tu003cliu003eParticipants will u003cstrongu003eundergo assessments at each stage of the courseu003c/strongu003e. Only top-qualified students will be invited to advance to the next stage. This ensures a competitive and merit-based progression, aligning with our commitment to academic excellence.u003c/liu003ernu003c/olu003e
Registering for the course
u003cspan style=u0022font-weight: 400;u0022u003eRegistration for the course will remain open until u003c/spanu003eu003cbu003eNovember 30, 2023u003c/bu003eu003cspan style=u0022font-weight: 400;u0022u003e. Interested candidates are encouraged to complete their registration before this deadline.u003c/spanu003ernrnu003cspan style=u0022font-weight: 400;u0022u003eEligible candidates will be invited to participate in the qualification exam for the first cohort, scheduled for the week of u003c/spanu003eu003cbu003eNovember 2 – 6, 2023u003c/bu003eu003cspan style=u0022font-weight: 400;u0022u003e. This is a key step in the selection process for the course.u003c/spanu003ernrnu003cspan style=u0022font-weight: 400;u0022u003eAdditionally, eligible candidates will have the opportunity to be invited for the second cohort qualification exam, which is set for the week of u003c/spanu003eu003cbu003eDecember 14 – 17, 2023.u003c/bu003ernrnu003cbu003eTo qualify for the exam, candidates must be actively enrolled in the KAUST Academy Coursera program and must have completed the prerequisite online courses.u003c/bu003eu003cspan style=u0022font-weight: 400;u0022u003e This ensures that all participants have the necessary foundational knowledge for the course.u003c/spanu003ernrnu003cspan style=u0022font-weight: 400;u0022u003eCandidates who do not pass the first qualification exam will have the opportunity to attend the second qualification exam. This provides applicants with a second chance to demonstrate their eligibility for the course.u003c/spanu003e
* Compulsory step!
Prerequisite online courses
u003cspan style=u0022font-weight: 400;u0022u003eTo qualify for the Introduction to Bioinformatics course, u003c/spanu003eu003cbu003ecandidates must successfully complete a prerequisite specialization on Courserau003c/bu003eu003cspan style=u0022font-weight: 400;u0022u003e.u003c/spanu003ernu003culu003ern tu003cli style=u0022font-weight: 400;u0022 aria-level=u00221u0022u003eu003cspan style=u0022font-weight: 400;u0022u003eFundamental Skills in Bioinformaticsu003c/spanu003eu003c/liu003ernu003c/ulu003ernu003cspan style=u0022font-weight: 400;u0022u003eThis specialized series of courses is designed to provide a foundational understanding of bioinformatics, equipping students with the necessary knowledge for advanced study in the field. u003c/spanu003ernrnu003cspan style=u0022font-weight: 400;u0022u003eThe specialization must be completed u003c/spanu003eu003cbu003ebefore November 1, 2023u003c/bu003eu003cspan style=u0022font-weight: 400;u0022u003e, for those aiming to attend the qualification exam for the first cohort. For those targeting the second cohort, u003c/spanu003eu003cbu003ethe completion deadline is December 12, 2023u003c/bu003eu003cspan style=u0022font-weight: 400;u0022u003e. u003c/spanu003ernrnu003cbu003eUpon successful completion of these prerequisites, candidates become eligible to take the qualification exam. u003c/bu003eu003cspan style=u0022font-weight: 400;u0022u003eThose who excel in this exam will be rewarded with exclusive invitations to enroll in the Introduction to Bioinformatics course.u003c/spanu003ernrnu003cspan style=u0022font-weight: 400;u0022u003eYour enrollment in our course also grants access to over 200 online courses, each culminating in a certificate upon successful completion. This extensive learning opportunity is available at a significantly discounted fee of 400 SAR, a special offer exclusively for KAUST Academy students.u003c/spanu003e
u003cstrongu003eTopics coveredu003c/strongu003ernby the course
u003culu003ern tu003cliu003eAn introduction to the R programming language, focusing on its application in bioinformatics.u003c/liu003ern tu003cliu003eTechniques and tools for analyzing bulk RNA sequencing data.u003c/liu003ern tu003cliu003eCovering the foundational aspects of Python programming, particularly in its use for bioinformatics.u003c/liu003ern tu003cliu003eExploring methodologies for analyzing single-cell RNA sequencing data.u003c/liu003ernu003c/ulu003e
Skills you’ll gain
- R Programming Basics
- Programming in Python
- Bulk RNA Sequencing Data Analysis
- Computational Biology
- Linear Algebra
- Statistical Analysis
- Data Visualization
- Project Management
- Critical Thinking
- Innovative Thinking
- Leadership
- Collaboration
Course stages
u003ch4u003eu003cstrong style=u0022font-size: 16px;u0022u003eu003cimg class=u0022aligncenter wp-image-1287u0022 src=u0022https://academy.kaust.edu.sa/wp-content/uploads/2023/09/Screenshot-1445-02-29-at-5.06.29-PM.pngu0022 alt=u0022u0022 width=u0022871u0022 height=u0022772u0022 /u003ernu003c/strongu003eu003c/h4u003ernu003ch2u003eu003cstrongu003eStage 1: Prerequisite Massive Open Online Coursesu003c/strongu003eu003c/h2u003ernu003cstrongu003eDurationu003c/strongu003e: 2 weeks u003cstrongu003eCompletion Dateu003c/strongu003e: Before November 1, 2023 u003cstrongu003eMethodu003c/strongu003e: Self-paced, OnlinernrnIn this initial stage, students are required to complete a dedicated specialization course on Coursera, focused on the essentials and foundational elements of bioinformatics.rnrnu003cstrongu003eNote that enrollment in the prerequisite Coursera courses does not automatically guarantee participation in the later stages of the course.u003c/strongu003e Progress through the course depends on high performance in assessments. They are strategically integrated into the course and occur between its key stages. u003cstrongu003eOnly top-performing students will be invited to advance to the next stage.u003c/strongu003ernu003ch2u003eu003cstrongu003eStage 2: Introduction to Bioinformaticsu003c/strongu003eu003c/h2u003ernu003cstrongu003eDurationu003c/strongu003e: 5 days u003cstrongu003eStart Dateu003c/strongu003e: November 17, 2023 u003cstrongu003eMethodu003c/strongu003e: Instructor-led, In-personrnrnIn this stage, the most qualified students will explore the core aspects of bioinformatics, gaining skills and tools crucial for practical applications in the field. Progress to the next stage is contingent upon meeting qualification criteria and assessment performance.rnu003ch2u003eu003cstrongu003eStage 3: Advanced Bioinformatics Courseu003c/strongu003eu003c/h2u003ernu003cstrongu003eDurationu003c/strongu003e: 5 days u003cstrongu003eStart Dateu003c/strongu003e: To be decided! u003cstrongu003eMethodu003c/strongu003e: Instructor-led, In-personrnrnThis stage immerses qualified students further into bioinformatics, covering more complex theories and advanced applications of bioinformatics technologies. Continuation to the next stage is based on student qualifications and assessment performance.rnu003ch2u003eu003cstrongu003eStage 4: Bioinformatics Summer Schoolu003c/strongu003eu003c/h2u003ernu003cstrongu003eDurationu003c/strongu003e: 8 weeks u003cstrongu003eStartu003c/strongu003e u003cstrongu003eDateu003c/strongu003e: June 16, 2024 u003cstrongu003eMethodu003c/strongu003e:u003cbu003e u003c/bu003eu003cspan style=u0022font-weight: 400;u0022u003eInstructor-led, In-personu003c/spanu003ernrnu003cspan style=u0022font-weight: 400;u0022u003eQualified students will be invited to participate in the prestigious KAUST Academy Summer School, hosted either at KAUST or at top international universities. This stage offers intensive training in various advanced topics in bioinformatics. On-campus accommodation and services are provided.u003c/spanu003e
u003ch3u003ePrerequisite course agendau003c/h3u003e
This section provides a detailed agenda, outlining the specific segments of the Coursera specialization to complete and their recommended timelines. The aim is to ensure participants finish these courses in time for the qualification exams. For the first cohort, the target completion date is u003cstrongu003ebefore November 1, 2023u003c/strongu003e. For the second cohort, the target completion date is u003cstrongu003ebefore December 12, 2023u003c/strongu003e.
This course introduces the essentials of programming using R. Key topics include working within the R and RStudio environments, understanding data types, and using control structures like loops and conditional statements. It also introduces R Markdown as a tool for code documentation and sharing.
Building on the basics, this course dives into more complex R programming concepts. It covers logical values and vectors, their applications in quality control, and basic statistical analysis techniques such as exploratory data analysis, correlation, linear models, T-tests, and ANOVA. The course also guides students in exploring additional resources for R programming.
This course presents the fundamentals of Python, starting with a comparison between Python and R programming languages. Students will learn Python’s syntax and get hands-on experience with key Python libraries like pandas and NumPy, essential for data manipulation and analysis.
In this course, students apply their programming skills to a practical bioinformatics case study, focusing on the analysis of RNA-seq data. R is used for bulk RNA-seq analysis, while Python handles single-cell RNA-seq data. The course emphasizes integrating results from both analyses and offers insights into advancing skills in R programming.
Click on the u003cstrongu003eapply nowu003c/strongu003e button to sign up!
u003cstrongu003eProfessor’s Takeu003c/strongu003ernon the Course
u0022Bioinformatics is not only about using existing tools to process and analyze biological data, but rather about developing novel methods and tailored approach for targeted knowledge discovery. The field of biology has gradually changed into a data-driven field, in which AI is playing more and more important roles for hypothesis generation and scientific discovery.u0022 – u003cstrongu003eProfessor Gin Xia, Acting Associate Director of Computational Bioscience Research Centeru003c/strongu003e
u003ch3u003eu003cstrongu003eFrequently Asked Questionsu003c/strongu003eu003c/h3u003e
Yes, the course covers foundational concepts that are directly applicable to real-world scenarios.
The course is primarily aimed at university students, providing them with tailored content that bridges academic learning and practical application.
The course structure varies across stages. The initial MOOC (Massive Open Online Course) stage is self-paced, allowing flexibility. Stages two to four are instructor-paced and conducted in person, requiring a more structured time commitment.
Yes, participants receive certificates of completion at each stage of the course. This certifies their proficiency in bioinformatics.
The enrollment fee gives you the opportunity to qualify for KAUST Academy’s Introduction to Bioinformatics course. Additionally, for an exclusive discounted fee of 400 SAR, students can gain access to over 200 online courses offered through Coursera.
Fees can be conveniently paid through Shopify, ensuring secure processing of both credit and debit card transactions. For debit card users, please ensure that online transactions are enabled on your card before proceeding.
No, completion of 200 courses is not required. Candidates need to complete only one specific specialization that consists of four separate online courses.
u003cp class=u0022p1u0022u003eu003cbu003eThreeu003c/bu003eu003cspan style=u0022font-weight: 400;u0022u003e significant assessments are strategically integrated into the course, u003c/spanu003eu003cbu003eoccurringu003c/bu003e u003cbu003ebetween its key stagesu003c/bu003eu003cspan style=u0022font-weight: 400;u0022u003e. These assessments are designed to evaluate the depth of your understanding and the application of the concepts learned. u003c/spanu003eu003cbu003eOnly top-performing students will be invited to advance to the next stage.u003c/bu003eu003cspan style=u0022font-weight: 400;u0022u003e This competitive system ensures that only the most dedicated and capable students move forward in the course.u003c/spanu003eu003c/pu003e
Do you have any questions?