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Computer Science | Stanford University
Department of Computer Science Apply for this course You are viewing this course for entry. Through the study of computer science, you'll learn how to understand the theoretical issues underlying a problem and how to engineer a solution. You can experiment with speech recognition, bsc dissertation proposals computing business, voice synthesis, text summarisation, machine translation, robot learning and control, computational biology or virtual reality.
As well as learning to program and think analytically, you'll be encouraged to work in teams and develop your communication skills. In the third year, you'll complete a dissertation project, giving you scope for creative and intellectual input. This course is accredited by the British Computer Society. The courses fully meet the requirements for Chartered Information Technology Professional and partially meet the requirements for Chartered Engineer.
There may be some changes before you start your course. For the very latest module information, check with the department directly. Core bsc dissertation proposals computing business. This module introduces the Software Engineering concepts that are needed to develop software systems that can meet basic functional requirements within a given problem domain.
It covers the main steps in the process of developing such systems, from requirements analysis through to their implementation and testing. A major part of the module involves students working in teams to develop a web-based software system, which gives practical experience in teamwork and managing software projects and their products. The course consists of around 10 blocks of weeks work each. Each block develops mathematical concepts and techniques that are of foundational importance to computing.
Lectures and problem classes will be used. The intention is to enthuse about these topics, to demonstrate why they are important to us, to lay the foundations of their knowledge and prepare students for future computing courses. It is not expected that bsc dissertation proposals computing business course will cover ALL of the maths that is needed later either in terms of depth or scope.
This module introduces programming concepts through the Java programming language. Program design and the use of testing to drive program creation are also covered. Initial focus is placed on the structured aspects typical of many programming languages: the ideas of a sequence, selection and repetition.
The object-oriented approach to building large software systems from components is then presented. Throughout the module, emphasis is placed on the practice of writing well-structured and readable programs to solve problems.
This module provides an introduction to Artificial Intelligence, and to key concepts and problems in the field, such as whether a computer is capable of understanding, and whether humans should themselves be viewed as machines. It also provides a brief historical overview of the subject and reviews the state-of-the-art and open questions in some of the major sub-areas of AI, bsc dissertation proposals computing business, pointing out connections to research work in the Department.
As well as providing a first encounter with the main issues that underlie attempts to create Artificial Intelligence, the module also has a more practical component that introduces algorithms and data structures for AI problem solving through practical programming examples, as well as hands-on experience with simple programming of robots.
The emphasis here is on identifying the abstract nature of the problem that is to be solved, matching this to an appropriate algorithm or technique and implementing a solution. It also serves as an introduction to programming for research rather than for software engineering.
This module runs throughout the academic year, starting in Autumn and ending in Spring. The module consists of two parts. In the first, important elements of computer architecture are covered including digital logic, computer arithmetic and instruction set architecture. The approach in the module is to show how the basic elements of a computer are constructed and combined to give sophisticated architectures that support accelerated performance via cache memory and pipelining.
This module is for students studying Computer Science as a main subject. The Web and the Internet are now pervasive in modern life, providing an information resource, and promoting novel, interactive solutions to computing-related activities.
Bsc dissertation proposals computing business module will cover, the technologies that are used in Web development, with an emphasis on building a simple interactive bsc dissertation proposals computing business using HTML, CSS and JavaScript and give an introduction to information security.
Algorithms and algorithmic problem solving are at the heart of computer science. This module introduces students to the design and analysis of efficient algorithms and data structures.
Students learn how to quantify the efficiency of an algorithm and what algorithmic solutions are efficient. Techniques for designing efficient algorithms are taught, including efficient data structures for storing and retrieving data.
This is done using illustrative and fundamental problems: searching, sorting, graph algorithms, and combinatorial problems such as finding the shortest paths in networks. The Faculty-wide Global Engineering Challenge Week is a compulsory part of the first-year programme, and the project has been designed to develop student academic, transferable and employability skills as well as widen their horizons as global citizens. Working in multi-disciplinary groups of six, for a full week, all students in the Faculty choose from a number of projects arranged under a range of themes including Water, ICT, Waste Management and Energy with scenarios set in a developing country.
Students are assessed on a number of aspects of being a professional engineer both by Faculty alumni and a number of local industrial engineers. It provides students with the opportunity to learn about design, teamwork and communication through real, bsc dissertation proposals computing business, sustainable and cross-cultural development projects.
By participating in the EWB Challenge students are presented with a fantastic opportunity to design creative solutions to problems identified by real EWB projects. Each year, the EWB Challenge design brief is.
This module is intended to serve as an introduction to machine learning and pattern processing, but with a clear emphasis on applications. The module is themed around the notion of data as a resource; how it is acquired, prepared for analysis and finally how we can learn from it. The module will employ a practical Python-based approach to try and help students develop an intuitive grasp of the sophisticated mathematical ideas that underpin this challenging but fascinating subject.
This module provides a grounding in software systems design, highlighting security issues. Topics include: choice of software lifecycle, customer-developer interaction, requirements capture, information management, database design, functional design, design patterns, software architectures, user interfaces, data validation, software verification and testing.
Security topics include: threats, countermeasures, policies and technologies. The lectures are complemented by an integrating team-project. This credit unit prepares students to participate in the Software Hut COM in the Spring. This module is concerned with the design and implementation of effective human-machine interaction and the technology underpinning bsc dissertation proposals computing business robotics. These areas intersect in the field of human-robot interaction.
The course has a multidisciplinary content spanning psychology, bsc dissertation proposals computing business, human factors, computer science and robotics. This module introduces the foundations of logic in computer science. The first part introduces the syntax and semantics of propositional and predicate logics, natural deduction, and notions such as soundness, completeness and un decidability.
The second part covers applications in computer science and beyond, such as automated reasoning and decision procedures, modal and temporal logics for the verification of computing systems, and type systems for programming languages. This module introduces the principles of functional programming, using the Haskell programming language.
It introduces types and classes, function definitions, list comprehension, recursive and higher order functions, eager and lazy evaluation, bsc dissertation proposals computing business, and basic data types, bsc dissertation proposals computing business.
This module introduces the mathematical and logical foundations and tools for modelling and analysing computing systems, including state machines, formal languages, logics, proof systems, and proof search procedures. The Software Hut a microcosm of a real Software House gives students an opportunity to experience the processes of engineering a real software system for a real client in a competitive environment. The taught element covers the tools and technologies needed to manage software development projects successfully and to deliver software products that meet both client expectations and quality standards.
Topics that are put into practice include: the requirements engineering process; software modelling and testing; using specific software development framework s ; group project management etc.
Tutorials take the form of project meetings, and so are concerned with team management, conduct of meetings and action minutes.
The Faculty-wide Engineering - You're Hired Week is a compulsory part of the second year programme, and the week has been designed to develop student academic, transferable and employability skills.
Working in multi-disciplinary groups of about six, students will work in interdisciplinary teams on a real world problem over an intensive week-long project. The projects are based on problems provided by industrial partners, bsc dissertation proposals computing business, and students will come up with ideas to solve them and proposals for a project to develop these ideas further. In the individual research project, you will complete a major original piece of software design, or an experimental investigation.
This work will be reported formally in a research dissertation and also presented at a project presentation session, to which industrial representatives, students and academics are invited. The work will include an Interim report that consists of an initial survey and literature review. You will be engaged in a major piece of software development, or the design and execution of an empirical experiment.
You will have regular meetings with your supervisor, bsc dissertation proposals computing business, who will advise on any problems you encounter.
You will prepare an 7, word dissertation, which includes the material from the interim report, but also contains bsc dissertation proposals computing business complete design, implementation and evaluation of the results of your project. This may be assessed by oral examination. The module is designed to introduce engineering students to some of the key financial and legal issues that engineers are likely to encounter in their working environment.
At the same time bsc dissertation proposals computing business module will develop students¿ understanding of the legal aspects of entering into contracts for the development and delivery of engineering projects and products and an awareness of environmental regulation, data protection and intellectual property rights. Through a series of parallel running lectures in the two disciplines, the module will provide a working knowledge of the two areas and how they impinge on bsc dissertation proposals computing business practice.
There will be a heavy emphasis on group working, report writing and presentation as part of the assessment supplemented by online exercises and an individual portfolio, bsc dissertation proposals computing business. Optional modules:. This unit will provide a practical introduction to techniques used for modelling and simulating bsc dissertation proposals computing business natural systems.
Many natural systems can be modelled appropriately using differential equations, or individual based methods. In this unit, bsc dissertation proposals computing business, students will explore and understand both modelling approaches. They will gain knowledge of the assumptions underlying these models, their limitations, and how they are derived.
Students will learn how to simulate and explore the dynamics of computational models, using a variety of examples mostly drawn from natural systems. Students should be aware that there are limited places available on this course. This module provides a comprehensive introduction to computer vision and practical skills for solving real-world applications. This module introduces fundamental concepts and ideas in natural language text processing, covers techniques for handling text corpora, and examines representative systems that require the automated processing of large volumes of text.
The course focuses on modern quantitative techniques for text analysis and explores important models for representing and acquiring information from texts.
The aim of this module is to set out a strong theoretical basis for the analysis and design of concurrent, distributed and mobile systems. We will use the process calculi to model and reason about complex systems, studying both its formal semantics and its many uses, via a number of examples.
This course will examine the theme of bio-inspired Machine Learning and in particular of Unsupervised and Reinforcement Learning in Neural Networks. The first half of the course covers Unsupervised algorithms Clustering, Principal Component Analysis that could potentially have biological counterparts in the human or animal brain.
The second half of the course introduces the theory of Reinforcement Learning in a simple and intuitive way, and more specifically Temporal Difference learning and the SARSA algorithm.
It also discusses state-of-the-art methods Deep Reinforcement Learning. This module provides, in general, an introduction into computer security and forensics. In particular, this module focuses on approaches and techniques for building secure systems and for the secure operation of systems.
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, time: 4:26Undergraduate Business Program - Tepper School of Business - Carnegie Mellon University
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