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Jennie Si

Jennie Si is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Jennie Si rather than just read about it. In short: Jennie Si (born 1963, also published as Jie Si) is a Chinese and American electrical engineer and computer scientist whose research involves approximate dynamic programming in control theory, neural networks, reinforcement learning, and wearable robotics. She is a professor in the School of Electrical, Computer and Energy Engineering at Arizona State University.

Key takeaways

  • Jennie Si belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Jennie Si to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Jennie Si from memory before moving on to harder problems.

Reference excerpt

Jennie Si (born 1963, also published as Jie Si) is a Chinese and American electrical engineer and computer scientist whose research involves approximate dynamic programming in control theory, neural networks, reinforcement learning, and wearable robotics. She is a professor in the School of Electrical, Computer and Energy Engineering at Arizona State University.

Education and career Si was a student at Tsinghua University, where she received a bachelor's degree in 1985 and a master's degree in 1988. She completed her Ph.D. at the University of Notre Dame in 1992, with the dissertation Analysis and Synthesis of Discrete-Time Recurrent Neural Networks With High Order Nonlinearities supervised by Anthony N. Michel. She joined Arizona State University as an assistant professor of electrical engineering in 1991, and was promoted to full professor in 2000.

Recognition Si was named as an IEEE Fellow in 2008, "for contributions to approximate dynamic programming, and to the analysis and synthesis of neural networks".

References

Worked examples

Example 1 — a first encounter with Jennie Si

Start with the simplest possible case. Write down what Jennie Si claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Jennie Si before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Jennie Si ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Jennie Si

In research
Jennie Si appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Jennie Si in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Jennie Si is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1963 births, American computer scientists, American electrical engineers, so understanding it makes those chapters shorter.
In everyday life
Look for Jennie Si outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Jennie Si in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Jennie Si means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Jennie Si out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Jennie Si in simple terms?

Jennie Si (born 1963, also published as Jie Si) is a Chinese and American electrical engineer and computer scientist whose research involves approximate dynamic programming in control theory, neural networks, reinforcement learning, and wearable robotics. She is a professor in the School of Electri…

Why does Jennie Si matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Jennie Si?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Jennie Si.

Tags

  • 1963 births
  • American computer scientists
  • American electrical engineers
  • American women computer scientists
  • American women engineers
  • Arizona State University faculty
  • Chinese computer scientists
  • Chinese electrical engineers
  • Chinese women computer scientists
  • Chinese women engineers
  • Fellows of the IEEE
  • Living people

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