Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2026 356450 Advances in Instrumental Analysis 1 3.0 3 ★ Chen Hsiu-Hui GOPM 7 0 英文授課

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2026	356450	Advances in Instrumental Analysis	1	3.0	3	★	Chen Hsiu-Hui	GOPM	7	0	英文授課

Course Plan：

Instructor Chen Hsiu-Hui　Office Hours

Email a0922156879@gmail.com

Last Updated 2025-12-18 12:51:22

Course Objective 課程兩個主要目標為光譜學方法及分離方法。光譜學方法內容含紫外、可見、紅光、核磁、x-ray等光譜法。電子譜及質譜也將被討論。分離方法方面有液層、氣層、膠層等層析法。分離後串聯之光譜分析也會學習。 Two major goals of this course are spectroscopy and separation methods. Spectroscopy methods include ultraviolet, visible, infrared, nuclear magnetic, and x-ray spectroscopies.Election and mass spectrometry are also included. Separation methods are: gas, liquid, and gel chromatographies. In addition, GC-MS,LC-MS, GC-IR, etc. will be studied.

Course Schedule (W1) Introduction of course (W2) Electrical Components and Circuits (W3) Electrical Components and Circuits (W4) Operational Amplifier Circuits (W5) Operational Amplifier Circuits (W6) Signals and Noise (W7) Mid-Exam (W8) Atomic Absorption and Atomic Fluorescence (W9) Atomic Absorption and Atomic Fluorescence (W10) Atomic Mass Spectrometry (W11) Atomic Mass Spectrometry (W12) Surface Characterization by Spectroscopy (W13) Surface Characterization by Spectroscopy (W14) Nuclear Magnetic Resonance Spectroscopy (W15) Nuclear Magnetic Resonance Spectroscopy (W16) Electroanayltical Chemistry (W17) Electroanayltical Chemistry (W18) Final-Exam

Evaluation and grading policy Mid-Exam 30% Final-Exam 40% Attendance 30%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
Principles of Instrumental Analysis Handout

The access to curricular consultation office time: (Tue) am 10:00-12:00

The course corresponds to the SDGs SDG4：優質教育（Quality Education）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
SDG12：負責任的消費與生產（Responsible Consumption and Production）
SDG17：夥伴關係（Partnerships for the Goals）

Does the course incorporate AI ● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process）
● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
● 使用生成式AI進行課堂即時互動（Use generative AI for real-time classroom interaction）
● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）

Note
如果關於上課資訊有任何疑問，可於開學前寫信至hhchen@mail.ntut.edu.tw

Instructor	Chen Hsiu-Hui　Office Hours
Email	a0922156879@gmail.com
Last Updated	2025-12-18 12:51:22
Course Objective	課程兩個主要目標為光譜學方法及分離方法。光譜學方法內容含紫外、可見、紅光、核磁、x-ray等光譜法。電子譜及質譜也將被討論。分離方法方面有液層、氣層、膠層等層析法。分離後串聯之光譜分析也會學習。 Two major goals of this course are spectroscopy and separation methods. Spectroscopy methods include ultraviolet, visible, infrared, nuclear magnetic, and x-ray spectroscopies.Election and mass spectrometry are also included. Separation methods are: gas, liquid, and gel chromatographies. In addition, GC-MS,LC-MS, GC-IR, etc. will be studied.
Course Schedule	(W1) Introduction of course (W2) Electrical Components and Circuits (W3) Electrical Components and Circuits (W4) Operational Amplifier Circuits (W5) Operational Amplifier Circuits (W6) Signals and Noise (W7) Mid-Exam (W8) Atomic Absorption and Atomic Fluorescence (W9) Atomic Absorption and Atomic Fluorescence (W10) Atomic Mass Spectrometry (W11) Atomic Mass Spectrometry (W12) Surface Characterization by Spectroscopy (W13) Surface Characterization by Spectroscopy (W14) Nuclear Magnetic Resonance Spectroscopy (W15) Nuclear Magnetic Resonance Spectroscopy (W16) Electroanayltical Chemistry (W17) Electroanayltical Chemistry (W18) Final-Exam
Evaluation and grading policy	Mid-Exam 30% Final-Exam 40% Attendance 30%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Principles of Instrumental Analysis Handout
The access to curricular consultation	office time: (Tue) am 10:00-12:00
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure） SDG12：負責任的消費與生產（Responsible Consumption and Production） SDG17：夥伴關係（Partnerships for the Goals）
Does the course incorporate AI	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 使用生成式AI進行課堂即時互動（Use generative AI for real-time classroom interaction） ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
Note	如果關於上課資訊有任何疑問，可於開學前寫信至hhchen@mail.ntut.edu.tw