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Root number
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2410 |
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Semester
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HS2020 |
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Type of course
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Lecture |
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Allocation to subject
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Computer Science |
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Type of exam
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Written exam |
| Title |
Introduction to Computer Science |
| Description |
The aim of this course is to provide an overview of the most important topics and basic notions in computer science. A self-contained topic is presented for each double lesson and practically deepened in the associated tutorial lesson. The lecture deals with topics such as algorithms, recursion, parallelism, analysis of algorithms, finite automata, computer networks, databases, operating systems, complexity, digital sustainability, data processing and visualization, discretization and graphs, cryptography, randomized algorithms, modeling and simulation. The lecture includes theoretical and practical exercises. No previous knowledge of computer science is required.
Sustainability is of great importance in computer science and especially in connection with digitization. Fundamental aspects cover copyright, data protection and data access (especially in connection with large private companies such as Facebook and Google). Sustainable development is also relevant to reduce or avoid resource consumption (e.g. energy saving measures in data centers or reduction of travel through the use of ICT tools such as video conferences) in order to create sustainable knowledge and to build innovative principles for the use of data and software (e.g. share data, information and source code).
*** Form of Teaching ***
The course "Introduction to Computer Science" will be offered entirely online this semester. The lectures will be pre-recorded and uploaded to ILIAS one week in advance. During the regular lecture time, there will be an online Q&A session to interactively discuss the content.
Please register to the course on ILIAS in order to get access to all important information and course material. |
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ILIAS-Link (Learning resource for course)
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No registration/deregistration in CTS (Admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Prof. Dr.
Torsten Braun, Institute of Computer Science ✉
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Prof. Dr.
David Bommes, Institute of Computer Science ✉
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Prof. Dr.
Paolo Favaro, Institute of Computer Science ✉
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Prof. Dr.
Oscar Nierstrasz, Teaching Staff, Faculty of Science ✉
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Prof. Dr.
Thomas Adrian Strahm, Institute of Computer Science
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Prof. Dr.
Thomas Studer, Institute of Computer Science ✉
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PD Dr.
Matthias Emmanuel Stürmer, Research Center for Digital Sustainability ✉
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Prof. Dr.
Christian Cachin, Institute of Computer Science ✉
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ECTS
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5 |
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Recognition as optional course possible
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Yes |
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Grading
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1 to 6 |
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| Dates |
Thursday 14:15-17:00 Weekly
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Monday 11/1/2021 16:15-18:00
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Thursday 29/4/2021 14:00-15:00
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| Rooms |
Hörsaal A006, Exakte Wissenschaften, ExWi
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Hörsaal B005, Exakte Wissenschaften, ExWi
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Hörsaal B006, Exakte Wissenschaften, ExWi
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Hörsaal B007, Exakte Wissenschaften, ExWi
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
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