Zurich Zr Pro Key Programming

[Mario Roby]

Research and teaching in programming languages and systems tackles fundamental problems to improve the design, construction, and analysis of software. It is often motivated by the needs of industry and society, such as the ever-growing demand for reliable, secure, and efficient software. The Institute for Programming Languages and Systems covers a wide spectrum of topics from theoretical underpinnings to practical tools supporting today's ambitious software projects. Topics of particular attention include: software development, software performance, and software reliability and security.

Abstract: This course gives an introduction to the Robot Operating System (ROS) including many of the available tools that are commonly used in robotics. With the help of different examples, the course should provide a good starting point for students to work with robots. They learn how to create software including simulation, to interface sensors and actuators, and to integrate control algorithms.

Content: This course consists of a guided tutorial and exercises with increasing level of difficulty when working with an autonomous robot. You learn how to setup such a system from scratch using ROS, how to interface the individual sensors and actuators, and finally how to implement first closed loop control systems.

If you work on a project involving ROS programming under Linux, a native installation will provide you with a more stable and more performant alternative to a Virtual Machine. To set up a native installation, follow the instructions DownloadSetup developer PC (PDF, 91 KB)vertical_align_bottom.

Research in programming languages and software engineering centres on tackling fundamental problems to improve the design, construction and analysis of software. The department covers a wide spectrum of research in this area, from theoretical underpinnings to practical tools supporting current and future ambitious software projects. Topics include software reliability and security, software performance, and interdisciplinary research.

The purpose of this course is to introduce students to parallel programming. By the end of the course students will be able to design and implement working parallel programs in traditional (e.g., Java Threads) and emerging parallel programming models. Moreover, students will master fundamental concepts in parallelism and be able to reason about the correctness, performance, and the construction of parallel programs using different parallel programming paradigms (e.g., task parallelism, data parallelism) and mechanisms (e.g., threads, tasks, locks, communication channels). Finally, the course will examine how parallel programming methodologies can be applied in different algorithmic domains by investigating parallelization of algorithms.

In this course, participants will learn about new ways of specifying, reasoning about, and developing programs and computer systems. Our objective is to help students raise their level of abstraction in modelling and implementing systems.

The first part of the course will focus on designing and reasoning about functional programs. Functional programs are mathematical expressions that are evaluated and reasoned about much like ordinary mathematical functions. As a result, these expressions are simple to analyse and compose to implement large-scale programs. We will cover the mathematical foundations of functional programming, the lambda calculus, as well as higher-order programming, typing, and proofs of correctness.

The second part of the course will focus on deductive and algorithmic validation of programs modelled as transition systems. As an example of deductive verification, students will learn how to formalize the semantics of imperative programming languages and how to use a formal semantics to prove properties of languages and programs. As an example of algorithmic validation, the course will introduce model checking and apply it to programs and program designs.

The Game Programming Laboratory addresses modern three-dimensional computer game technology. During the course, small groups of students will design and develop a computer game. Focus will be put on technical aspects of game development, such as rendering, interaction, physics, animation, and AI. In addition, we will cultivate creative thinking for advanced gameplay and visual effects.

The "laboratory" format involves a practical, hands-on approach with neither traditional lectures nor exercises. Instead, we will meet once a week to discuss technical issues and to track progress. We will utilize external pageMonoGamecall_made, which is a framework to create cross-platform games.

At the end of the course results will be presented to the public. The best projects, choosen by the audience and a jury of experts from the industry, will be awarded prices. Information about the impressive games of the previous years can be found in the Games section.

The number of participants for the game programming laboratory is limited. If you want to participate, make sure to sign up for the course and attend the first lectures, as this is where the teams are assembled. It is usually not possible to join later on during the semester.

The Programming Language Foundations Lab is the youngest member of the Institute for Programming Languages and Systems, founded in 2022. We're led by Professor Ralf Jung. Our research aims to give strong safety and correctness guarantees to real software and systems, by combining programming language theory and practical verification.

The site is secure.
The ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Recent research has focused on environmental effects that control tissue functionality and systemic metabolism. However, whether such stimuli affect human thermogenesis and body mass index (BMI) has not been explored. Here we show retrospectively that the presence of brown adipose tissue (BAT) and the season of conception are linked to BMI in humans. In mice, we demonstrate that cold exposure (CE) of males, but not females, before mating results in improved systemic metabolism and protection from diet-induced obesity of the male offspring. Integrated analyses of the DNA methylome and RNA sequencing of the sperm from male mice revealed several clusters of co-regulated differentially methylated regions (DMRs) and differentially expressed genes (DEGs), suggesting that the improved metabolic health of the offspring was due to enhanced BAT formation and increased neurogenesis. The conclusions are supported by cell-autonomous studies in the offspring that demonstrate an enhanced capacity to form mature active brown adipocytes, improved neuronal density and more norepinephrine release in BAT in response to cold stimulation. Taken together, our results indicate that in humans and in mice, seasonal or experimental CE induces an epigenetic programming of the sperm such that the offspring harbor hyperactive BAT and an improved adaptation to overnutrition and hypothermia.

Description
Dynamic Programming Algorithm; Infinite Horizon Problems; Value/Policy Iteration; Deterministic Systems and Shortest Path Problems; Deterministic Continuous-Time Optimal Control.

Exam
There is a written final exam during the examination session, which covers all material taught during the course, i.e. the material presented during the lectures and corresponding problem sets, programming exercises, and recitations.

Students are encouraged to post questions regarding the lectures and problem sets on the Piazza forum. The access code will be announced via email before the first lecture. We welcome everyone to try to answer and discuss about the questions posted.

During the semester, there will be a programming exercise, which requires the student to apply the course material. Though no bonus points will be given for the programming exercise, we strongly encourage the students to do it as it helps to better understand the content. A maximum of two students can work as one team. The programming exercise will be in Python.

We will make sets of problems and solutions available online for the chapters covered in the lecture. It is the student's responsibility to solve the problems and understand their solutions. The problem sets contain programming exercises that require the student to implement the lecture material Python.

For Python package management, we recommend you use external pageAnaconda Distributioncall_made, and for general installation and usage of Anaconda, please refer to the external pageAnaconda Documentationcall_made. We will use Jupyter Notebook for the Python solutions, and for the general installation and usage of Jupyter Notebook, please refer to the external pageDocumentationcall_made. You can also choose to upload the notebook files onto your external pageGoogle Colabcall_made and run it. If you have any problems running the provided solutions, please feel free to reach us.

Quantum computing has attained major attention over the last few years, to get the best over the traditional algorithms, many researchers were working on quantum computers and algorithms, which usually function based on the principles of quantum physics which possess huge potential.

Silq is the first high-level quantum computer programming language, which is specially created around the construction and functionality of the hardware to extract the details from the low-level implementation of quantum algorithms.

With the help of this language, the quantum type system captures the crucial factors of quantum computations and ensures an automatic and safe computation. This is actually a big challenge that current existing quantum languages are facing.

This is also a very helpful programming language for quantum computing artificial intelligence as it enables quantum algorithms with more safety and concisely when compared to the existing quantum languages.

c80f0f1006