AMIS 3600H

Introduction to accounting information systems

Fall 2023

Instructor Information
Instructor: Professor D. Schroeder
Office: 424 Fisher Hall
Email: schroeder.9@osu.edu
Phone: 614-292-6427
Office Hours: 2:00-3:00 TR and by appointment

Course Information
Classroom/Times: 285 GE 3:55-5:15 TR
AMIS 3600H Fall 2023 syllabus

tentative outline of topics

week topic examples suggested background reading
Entropy & coding
1 Shannon entropy [axioms – additivity; marginal, joint, conditional, relative entropy; mutual information] Ralph’s mutual information Cover and Thomas, Elements of information theory ch. 2,9;

Luenberger, Information science ch. 2,5

Pearl, 2021, “Radical empiricism and machine learning research,” Journal of Causal Inference, 78-82.

1,2 Shannon’s channel theorems Ralph’s channel Cover and Thomas ch. 5,8;

Luenberger ch.3,5

Nielsen and Chuang, ch. 12

2,3

 

 

 

 

 

 

 

 

3

von Neumann entropy; quantum mutual information

 

 

 

 

 

 

 

introduction to quantum computing

Ralph’s density operator

supplements:

Ralph’s quantum mutual information

Ralph’s teleportation

Ralph’s inequality

Ralph’s quantum measurement

Ralph’s quantum coordination

 

Ralph’s quantum parallelism

Ralph’s superdense coding

Ralph’s quantum data compression

Ralph’s quantum search

Nielsen and Chuang, Quantum information and quantum computation ch. 1,2; summary of quantum operator rules

Schmidt decomposition and entanglement

 

 

 

 

 

Grover, “A fast quantum mechanical algorithm for database search”

Nielsen and Chuang, ch. 1,2,6

“Is quantum search practical?”

4 Classical coding: error detection F 9-1,2 Fellingham, Accounting: An information science (F)

F ch 9; Luenberger ch. 6

4 Classical coding: error correction F 9-3,4,7,8,10 F ch 9; Luenberger ch. 6
4 Classical coding: error detection and correction Ralph’s accounting code F ch 3

Arya, Fellingham, Schroeder, and Young, “Double entry bookkeeping and error correction”

5 Quantum coding: error detection and correction Ralph’s quantum error correction

extensions:

Ralph’s stabilizer code

quantum error correction notes

Nielsen and Chuang, ch. 10

6 Classical encryption: private key F 10-1,3,4,6 F ch 10; Luenberger ch. 11,12
7 Classical encryption: public key F 10-5,8,10 F ch 10; Luenberger ch. 13,14

Fermat-based private key vis-a-vis Euler-based public key encryption

8 Classical encryption: elliptical curve cryptography  Ralph’s elliptic curve cryptography notes on elliptic curve cryptography; Luenberger ch. 13,14
9 Quantum factoring algorithm Ralph’s quantum factoring Shor, 1996, “Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer”;

Nielsen and Chuang ch. 5

9,10 Quantum discrete log algorithm Ralph’s quantum discrete log Shor, 1996; Nielsen and Chuang ch. 5;

Lin, “Shor’s algorithm and the quantum Fourier transform.”

10 Quantum cryptography Ralph’s quantum encryption

extensions:

Ralph’s EPR QKD

Ralph’s CSS QKD

Ralph’s BB84 QKD

F ch 11; Nielsen and Chuang ch. 12

Shor and Preskill, “Simple proof of security of the BB84 quantum key distribution protocol”

Andonian and Brankovic, “Coding theory: coset decoding”

Bennett, Brassard, and Roberts, Privacy amplification by public discussion.

Carter and Wegman, Universal classes of hash functions.

Chor et al, The bit extraction problem or t-resilient functions.

Structural causal modeling (SCM)
11 DAGs; Simpson’s paradox; counterfactuals Ralph’s technology Pearl, Glymour, and Jewell, 2016, Causal inference in statistics: A primer, Wiley.

Ralph’sTechnologyData.xlsx

11,12 intervention, do-calculus Ralph’s back-door adjustment Pearl,et al 2016; Pearl 1995, Biometrika, “Causal diagrams for empirical research”
12 intervention, do-calculus Ralph’s front-door adjustment Pearl,et al 2016

front-door example

13 instrumental variable adjustment Ralph’s instrumental variables Pearl,et al 2016

Ralph’s instrumental variables.nb(Mathematica file as pdf)

13 Berkson’s paradox Ralph’s “kitchen sink” fallacy Pearl,et al 2016

Ralph’s kitchen sink fallacy.nb(Mathematica file as pdf)

14 linear models, path coefficients, direct and indirect effects Ralph’s path coefficients Pearl,et al 2016
14 DAG construction and testing Ralph’s DAG Pearl,et al 2016
14 sampling selection bias Ralph’s technology selection notes on Sampling selection; Bareinboim, Tian, Pearl, “Recovering from selection bias in causal and statistical inference,”

Final exam

Wed, 12/13/23

4:00-5:45 pm