Academic Year |
2024Year |
School/Graduate School |
School of Informatics and Data Science |
Lecture Code |
KA109001 |
Subject Classification |
Specialized Education |
Subject Name |
プログラミング言語 |
Subject Name (Katakana) |
プログラミングゲンゴ |
Subject Name in English |
Programming Languages |
Instructor |
NISHIMURA KOUJI |
Instructor (Katakana) |
ニシムラ コウジ |
Campus |
Higashi-Hiroshima |
Semester/Term |
2nd-Year, Second Semester, 4Term |
Days, Periods, and Classrooms |
(4T) Mon9-10,Weds9-10:ENG 220 |
Lesson Style |
Lecture |
Lesson Style (More Details) |
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In principle, lectures are face-to-face and exercises are online (on-demand), but face-to-face may be changed to online (simultaneous interactive). |
Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
B
:
Japanese/English |
Course Level |
3
:
Undergraduate High-Intermediate
|
Course Area(Area) |
25
:
Science and Technology |
Course Area(Discipline) |
02
:
Information Science |
Eligible Students |
2nd grade students of School of Informatics and Data Science |
Keywords |
Programming Languages, Compiler, Pseudo language programming |
Special Subject for Teacher Education |
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Special Subject |
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Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students) | In addition to understanding the mechanism of programming languages, learn a wide range of basic syntax and semantics of programming with exercises. Also, deepen understanding through metaprogramming using pseudo language. |
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Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students) | Computer Science Program (Abilities and Skills) ・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value. ・B. Ability to identify new problems independently and solve them through quantitative and logical thinking based on data, multifaceted perspectives, and advanced information processing and analysis. ・D3. Knowledge of hardware and software and programming ability to process data efficiently.
Data Science Program (Abilities and Skills) ・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value. ・B. Ability to identify new problems independently and solve them through quantitative and logical thinking based on data, multifaceted perspectives, and advanced information processing and analysis.
Intelligence Science Program (Abilities and Skills) ・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value. ・B. Ability to identify new problems independently and solve them through quantitative and logical thinking based on data, multifaceted perspectives, and advanced information processing and analysis. ・D2. Information processing ability and data analysis ability to contribute to the application and development of artificial intelligence and IoT. |
Class Objectives /Class Outline |
Learn the general knowledge on programming language as a basis of software development. Specific goals are as follows: 1. Can understand the syntax and semantics of programming language 2. Can understand the execution environment of the program including compiler 3. Can use metaprogramming using pseudo language |
Class Schedule |
lesson1: Guidance, Introduction to programming languages lesson2: Overview of the compiler lesson3: Lexical analysis: Regular expressions and finite automata lesson4: Lexical analysis: Lexical analyzer lesson5: Syntax analysis: Context free grammar lesson6: Syntax analysis: Upward parsing lesson7: Syntax analysis: Recursive downward parsing lesson8: Semantics analysis: Symbol table lesson9: Semantics analysis: Type handling lesson10: Runtime environment lesson11: Interpreter lesson12: Metaprogramming using pseudo language: Variables and Types lesson13: Metaprogramming using pseudo language: Operators lesson14: Metaprogramming using pseudo language: Functions lesson15: Metaprogramming using pseudo language: Process flow
The lecturer may impose a report in response to the content of each lesson and perform final exam.
The contents or the order of the lesson may vary due to the progress of the lesson, etc. |
Text/Reference Books,etc. |
Documents are prepared by the lecturer. |
PC or AV used in Class,etc. |
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(More Details) |
The handouts will be placed on moodle, so please download them yourself. Record the lesson so that you can look back on it later. |
Learning techniques to be incorporated |
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Suggestions on Preparation and Review |
It is desirable to understand the basic grammer and algorithm such as C language. |
Requirements |
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Grading Method |
Consider active participation in the results of quiz and final exam. |
Practical Experience |
Experienced
|
Summary of Practical Experience and Class Contents based on it |
The lecturer will instruct secure programming development techniques based on software development experience in an aeronautical system company and practical experience as an information security engineer who has licenses on registered information security specialist (RISS) and CAIS-Assistant. |
Message |
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Other |
The language of instruction will be decided and announced by the lecturer based on the language proficiency of the students. |
Please fill in the class improvement questionnaire which is carried out on all classes. Instructors will reflect on your feedback and utilize the information for improving their teaching. |