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This lecture describes how to build research workflows, including a demonstrate using DataJoint Elements to build data pipelines.

Difficulty level: Intermediate
Duration: 47:00
Speaker: : Dimitri Yatsenko

This lesson provides an introduction to the Symposium on Science Management at the Canadian Association for Neuroscience 2019 Meeting.

Difficulty level: Beginner
Duration: 9:52
Speaker: : Randy McIntosh

This lesson gives a primer to project management in a scientific context, with a particular neuroinformatic case study. 

Difficulty level: Beginner
Duration: 19:06
Speaker: : Kelly Shen

In this lesson, you will hear about the current challenges regarding data management, as well as policies and resources aimed to address them. 

Difficulty level: Beginner
Duration: 18:13
Speaker: : Mojib Javadi

This lesson covers "Knowledge Translation", the activities involved in moving research from the laboratory, the research journal, and the academic conference into the hands of people and organizations who can put it to practical use.

Difficulty level: Beginner
Duration: 15:05
Speaker: : Jordan Antflick

In this lesson, you will hear about the various methods developed and employed in managing performance. 

Difficulty level: Beginner
Duration: 12:57

This lesson provides an overview of how to manage relationships in a research context, while highlighting the need for effective communication at various levels.

Difficulty level: Beginner
Duration:
Speaker: : Helena Ledmyr

In this lesson you will hear a panel discussion which hosts experts in the field whom have extensive experience with management in a science setting.

Difficulty level: Beginner
Duration: 54:38
Speaker: :

In this lesson, you will learn about hardware for computing for non-ICT specialists.

Difficulty level: Beginner
Duration: 43:21
Speaker: : Steve Furber

This lecture covers different perspectives on the study of the mental, focusing on the difference between Mind and Brain. 

Difficulty level: Beginner
Duration: 1:16:30

This lecture provides a history of data management, recent developments data management, and a brief description of scientific data management.

Difficulty level: Advanced
Duration: 35:10
Speaker: : Thomas Heinis

Computer arithmetic is necessarily performed using approximations to the real numbers they are intended to represent, and consequently it is possible for the discrepancies between the actual solution and the approximate solutions to diverge, i.e. to become increasingly different. This lecture focuses on how this happens and techniques for reducing the effects of these phenomena and discuss systems which are chaotic.

Difficulty level: Beginner
Duration: 36:56
Speaker: : David Lester

This lecture will addresses what it means for a problem to have a computable solution, methods for combining computability results to analyse more complicated problems, and finally look in detail at one particular problem which has no computable solution: the halting problem.

Difficulty level: Beginner
Duration: 28:28
Speaker: : David Lester

This lecture focuses on computational complexity, a concept which lies at the heart of computer science thinking. In short, it is a way to quickly gauge an approximation to the computational resource required to perform a task.

Difficulty level: Beginner
Duration: 27:33
Speaker: : David Lester

This lesson briefly goes over the outline of the Neuroscience for Machine Learners course. 

Difficulty level: Intermediate
Duration: 3:05
Speaker: : Dan Goodman

This lecture focuses on where and how Jupyter notebooks can be used most effectively for education.

Difficulty level: Beginner
Duration: 34:53
Speaker: : Thomas Kluyver

JupyterHub is a simple, highly extensible, multi-user system for managing per-user Jupyter Notebook servers, designed for research groups or classes. This lecture covers deploying JupyterHub on a single server, as well as deploying with Docker using GitHub for authentication.

Difficulty level: Beginner
Duration: 1:36:27
Speaker: : Thomas Kluyver

This tutorial is part 1 of 2. It aims to provide viewers with an understanding of the fundamentals of R tool. Note: parts 1 and 2 of this tutorial are part of the same YouTube video; part 1 ends at 17:42. 

Difficulty level: Beginner
Duration: 17:42
Speaker: : Edureka

This tutorial is part 2 of 2. It aims to provide viewers with an understanding of the fundamentals of R tool. Note: parts 1 and 2 of this tutorial are the same YouTube video. The portion related to this tutorial begins at 17:43. 

Difficulty level: Beginner
Duration: 1:32:59
Speaker: : Edureka

The Virtual Brain (TVB) is an open-source, multi-scale, multi-modal brain simulation platform. In this lesson, you get introduced to brain simulation in general and to TVB in particular. This lesson also presents the newest approaches for clinical applications of TVB - that is, for stroke, epilepsy, brain tumors, and Alzheimer’s disease - and show how brain simulation can improve diagnostics, therapy, and understanding of neurological disease.

Difficulty level: Beginner
Duration: 1:35:08
Speaker: : Petra Ritter