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Undergraduate topics in computer science

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Undergraduate topics in computer science

資料種別
図書
著者
-
出版者
Springer
出版年
-
資料形態
ページ数・大きさ等
24 cm
NDC
-
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資料種別
図書
出版事項
大きさ
24 cm
並列タイトル等
UTiCS
出版地(国名コード)
uk
対象利用者
一般
関連情報
Programming languages : principles and paradigms
Fundamentals of discrete math for computer science : a problem-solving primer
Introduction to computer graphics : using Java 2D and 3D
Mathematics for computer graphics
Introduction to HPC with MPI for data science
Principles of digital image processing : core algorithms
A concise introduction to software engineering
A concise introduction to data compression
Elements of computer security
Concise guide to formal methods : theory, fundamentals and industry applications
Concise guide to databases : a practical introduction
Principles of digital image processing : advanced methods
Programming in HTML and PHP : coding for scientists and engineers
Sets, logic and maths for computing
Pattern recognition : an algorithmic approach
Principles of programming languages
Introduction to the theory of programming languages
Introduction to deep learning : from logical calculus to artificial intelligence
Foundations of programming languages
Principles of digital image processing : fundamental techniques
Rigorous software development : an introduction to program verification
Principles of data mining
Agile software engineering
Analysis for computer scientists : foundations, methods, and algorithms
Introduction to artificial intelligence
Python programming fundamentals
Practical distributed processing
Introduction to computer graphics : using Java 2D and 3D
Guide to scientific computing in C++
Object-oriented analysis and design
Guide to scientific computing in C++
Mathematics for computer graphics
Practical analysis of algorithms
A concise introduction to languages and machines
Mathematics in computing : an accessible guide to historical, foundational and application contexts
Fundamentals of cryptography : introducing mathematical and algorithmic foundations
Julia-bit by bit : programming for beginners
Introduction to computation : Haskell, logic and automata
Guide to computer processor architecture : a RISC-V approach, with high-level synthesis
Sets, logic and maths for computing
Mathematics for computer graphics
Analysis for computer scientists : foundations, methods, and algorithms
Principles of data mining
Concise guide to software engineering : from fundamentals to application methods
Basic graph theory
Introduction to compiler design
Principles of data mining
Sets, logic and maths for computing
Introduction to parallel computing : from algorithms to programming on state-of-the-art platforms
Models of computation : an introduction to computability theory
Communications and networking : an introduction
Concise guide to formal methods : theory, fundamentals and industry applications
Data structures and algorithms with Python
Foundations of programming languages
Applied logic for computer scientists : computational deduction and formal proofs
Proofs and algorithms : an introduction to logic and computability
Guide to competitive programming : learning and improving algorithms through contests
Object-oriented programming languages : interpretation
Fundamentals of discrete math for computer science : a problem-solving primer
Programming languages and operational semantics
Modelling computing systems : mathematics for computer science
Semantics with applications : an appetizer
Mathematics for computer graphics
Sets, logic and maths for computing
Guide to data structures : a concise introduction using Java
Software quality assurance : consistency in the face of complexity and change
Discrete mathematics and graph theory : a concise study companion and guide
Making images with mathematics
Core data analysis : summarization, correlation, and visualization
Concise guide to databases : a practical introduction
Statistics for data scientists : an introduction to probability, statistics, and data analysis
Introduction to artificial intelligence
Automata theory and formal languages : fundamental notions, theorems, and techniques
Limits of computation : from a programming perspective
Embedded operating systems : a practical approach
OCaml scientific computing : functional programming in data science and artificial intelligence
Principles of data mining
Algebraic graph algorithms : a practical guide using Python
Programming languages : principles and paradigms
Introduction to data science : a Python approach to concepts, techniques and applications
Guide to competitive programming : learning and improving algorithms through contests
Programming language concepts
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国立情報学研究所 : CiNii Research