Python programming I+II The purpose of this course is to teach general programming concepts using the Python language as an instruction tool. Instructor: András Aszódi. Topics The course consists of two parts that are taught on different dates. Part I In the first part we learn the basics of Python programming. Introduction to Python: basic […]
Python programming I+II The purpose of this course is to teach general programming concepts using the Python language as an instruction tool. Instructor: András Aszódi. Topics The course consists of two parts that are taught on different dates. Part I In the first part we learn the basics of Python programming. Introduction to Python: basic […]
R as a programming language This course is aimed at colleagues who would like to learn how to use the statistical programming language "R". We will learn about the data structures and functions in R, and how to write R scripts. Instructor: András Aszódi. Topics Introduction to R: general principles. Data structures in R: vectors, […]
Think Statistics with R The main aim of this course is to teach you to how to approach data analysis problems with classical statistics. We focus on the intuition behind statistical methodologies rather than on "how to run a t-test with R" (which we will also learn, by the way). First we review the foundations […]
Think Statistics with R The main aim of this course is to teach you to how to approach data analysis problems with classical statistics. We focus on the intuition behind statistical methodologies rather than on "how to run a t-test with R" (which we will also learn, by the way). First we review the foundations […]
UNIX command line This course introduces the UNIX command line on a Linux or Mac. It serves as a foundation of our Bash scripting and CBE HPC cluster introduction courses. Instructor: András Aszódi. Topics UNIX overview: general principles. Working with files and directories. Users, groups, permissions, environment variables. Command pipelines, job control. Out of scope […]
Bash scripting This course teaches you how to write Bash shell scripts. It is aimed at colleagues who plan to work with UNIX-like operating systems including (but not limited to) HPC clusters. Instructor: András Aszódi. Topics Basics: variables, arrays, shell arithmetics. Flow control: logical decisions, iteration loops. Modularity: Bash functions. File path manipulations. Command-line argument […]
CBE HPC cluster introduction This course provides an introduction to the CBE ("CLIP Batch Environment") high-performance computing cluster. Instructor: András Aszódi. Number of participants: minimum 5, maximum 10. Topics and schedule Length: The course takes four hours with two short breaks. Topics: Introduction to the cluster: architecture, storage layout, access. Work environment setup using modules. […]
CBE HPC cluster introduction This course provides an introduction to the CBE ("CLIP Batch Environment") high-performance computing cluster. Instructor: András Aszódi. Number of participants: minimum 5, maximum 10. Topics and schedule Length: The course takes four hours with two short breaks. Topics: Introduction to the cluster: architecture, storage layout, access. Work environment setup using modules. […]
Bayesian Statistics with R The main aim of this course is to teach you the foundations of Bayesian statistics. We use hands-on examples in R to understand the intuition behind the Bayesian approach. Instructor: András Aszódi. Topics Diagnostic kits: calculating the probability of being sick if you tested positive, using Bayes' Theorem. Life and death […]
Bayesian Statistics with R The main aim of this course is to teach you the foundations of Bayesian statistics. We use hands-on examples in R to understand the intuition behind the Bayesian approach. Instructor: András Aszódi. Topics Diagnostic kits: calculating the probability of being sick if you tested positive, using Bayes' Theorem. Life and death […]
ANOVA with R Picture source: Fig.2 from Harp et al, eClinical Medicine Volume 39, September 2021, 101045 DOI: https://doi.org/10.1016/j.eclinm.2021.101045. The aim of this short course is to explain why we have to analyse variances if we want to compare group means using ANOVA techniques. This lecture is best taken with the Linear regression with R […]
Please provide affiliated Organisation, and your use-case or resource use estimation (CPU-hours, GPU-hours, Memory)